first com

Dockerfile.txt

@@ -0,0 +1,13 @@
+FROM python:3.9
+
+RUN useradd -m -u 1000 user
+USER user
+ENV PATH="/home/user/.local/bin:$PATH"
+
+WORKDIR /app
+
+COPY --chown=user ./requirements.txt requirements.txt
+RUN pip install --no-cache-dir --upgrade -r requirements.txt
+
+COPY --chown=user . /app
+CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]

JupyterNotebookCode,txt

@@ -0,0 +1,126 @@
+import torch
+import torch.nn as nn
+from torch.utils.data import Dataset, DataLoader
+from transformers import BertTokenizer, BertForSequenceClassification
+
+
+
+
+
+import json
+
+with open('correctedIntents.json', 'r') as f:
+  data = json.load(f)
+
+# Create a dataset class to handle the data
+class IntentDataset(Dataset):
+  def __init__(self, encodings, labels):
+    self.encodings = encodings
+    self.labels = labels
+
+  def __getitem__(self, idx):
+    item = {key: torch.tensor(val[idx]) for key, val in self.encodings.items()}
+    item['labels'] = torch.tensor(self.labels[idx])
+    return item
+
+  def __len__(self):
+    return len(self.labels)
+
+# Tokenize the text data
+tokenizer = BertTokenizer.from_pretrained('bert-base-uncased')
+
+# Prepare the input and output data for training
+inputs = []
+labels = []
+for intent in data['intents']:
+  for pattern in intent['patterns']:
+    inputs.append(pattern)
+    labels.append(intent['intent'])
+
+# Tokenize the inputs
+encodings = tokenizer(inputs, truncation=True, padding=True)
+
+# Convert the labels to numerical indices
+label_encoder = {label: i for i, label in enumerate(set(labels))}
+encoded_labels = [label_encoder[label] for label in labels]
+
+# Create the dataset and dataloaders
+dataset = IntentDataset(encodings, encoded_labels)
+train_loader = DataLoader(dataset, batch_size=16, shuffle=True)
+
+
+
+
+
+
+# Use a pre-trained BERT model for sequence classification
+model = BertForSequenceClassification.from_pretrained('bert-base-uncased', num_labels=len(label_encoder))
+
+
+
+
+
+
+
+
+# Define the loss function and optimizer
+device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
+model.to(device)
+criterion = nn.CrossEntropyLoss()
+optimizer = torch.optim.AdamW(model.parameters(), lr=5e-5)
+
+# Train the model
+for epoch in range(50):
+  for batch in train_loader:
+    optimizer.zero_grad()
+    input_ids = batch['input_ids'].to(device)
+    attention_mask = batch['attention_mask'].to(device)
+    labels = batch['labels'].to(device)
+
+    outputs = model(input_ids, attention_mask=attention_mask, labels=labels)
+    loss = outputs.loss
+    loss.backward()
+    optimizer.step()
+
+  print(f"Epoch {epoch+1}, Loss: {loss.item():.4f}")
+
+
+
+
+
+
+
+
+model = BertForSequenceClassification.from_pretrained('bert-base-uncased', num_labels=len(label_encoder))
+model.load_state_dict(torch.load('Shanks.pth'))
+model.to(device)
+
+
+
+
+
+
+
+import random
+
+# ... (rest of your code)
+
+def chat():
+    while True:
+        user_input = input("You: ")
+        if user_input == "quit":
+            break
+
+        inputs = tokenizer(user_input, return_tensors='pt').to(device)
+        with torch.no_grad():
+            outputs = model(**inputs)
+            logits = outputs.logits
+            predicted_class_id = torch.argmax(logits, dim=-1).item()
+
+        # Find the corresponding intent in the data list
+        for intent in data['intents']:
+            if intent['intent'] == list(label_encoder.keys())[predicted_class_id]:
+                response = random.choice(intent['responses'])
+                break
+
+        print(f"Bot: {response}")

Shanks.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2362a95d161b1b414ead81045368540c5a9cd323b2141a6025344b60ae15ef57
+size 9992

actualChat.py

@@ -0,0 +1,30 @@
+from transformers import BertForSequenceClassification, BertTokenizer
+import random
+import torch
+import json
+
+
+model = BertForSequenceClassification.from_pretrained('bert-base-uncased', num_labels=len(label_encoder))
+model.load_state_dict(torch.load('Shanks.pth'))
+model.to(device)
+
+
+def chat():
+    while True:
+        user_input = input("You: ")
+        if user_input == "quit":
+            break
+
+        inputs = tokenizer(user_input, return_tensors='pt').to(device)
+        with torch.no_grad():
+            outputs = model(**inputs)
+            logits = outputs.logits
+            predicted_class_id = torch.argmax(logits, dim=-1).item()
+
+        # Find the corresponding intent in the data list
+        for intent in data['intents']:
+            if intent['intent'] == list(label_encoder.keys())[predicted_class_id]:
+                response = random.choice(intent['responses'])
+                break
+
+        print(f"Shanks: {response}")

correctedIntents.json

@@ -0,0 +1,977 @@
+{
+    "intents": [
+      {
+        "intent": "greetings",
+        "patterns": [
+          "Hello",
+          "Hi",
+          "Hey",
+          "Good morning",
+          "Good afternoon",
+          "Good evening",
+          "What's up?",
+          "Howdy",
+          "Greetings",
+          "Salutations"
+        ],
+        "responses": [
+          "Hello! How can I assist you today?",
+          "Hi there! What would you like to know?",
+          "Hey! What’s on your mind?",
+          "Good to see you! How can I help?",
+          "Greetings! What can I do for you?"
+        ]
+      },
+      
+      {
+            "intent": "fallback",
+            "patterns": [
+              "Can you help me with something else?",
+              "What about topics outside of math?",
+              "I have a different question.",
+              "Can you answer anything other than math?",
+              "What else can you talk about?"
+            ],
+            "responses": [
+              "I'm primarily focused on math-related topics and solutions, but I'm still learning and improving.",
+              "While I specialize in mathematics, I'm continuously evolving and may be able to help with other inquiries in the future.",
+              "My expertise lies in math, and I might not have the answer to questions outside that area yet. But feel free to ask!",
+              "I appreciate your curiosity! Right now, my strengths are in mathematics, but I'm working on expanding my knowledge.",
+              "If your question is about math, I'm here to help! For other topics, I'm still in the learning phase."
+            ]
+          },
+        
+          {
+            "intent": "model_info",
+            "patterns": [
+              "What is your name?",
+              "What are you called?",
+              "Can you tell me your name?",
+              "What model are you?",
+              "What is your purpose?"
+            ],
+            "responses": [
+              "I am called Shanks.",
+              "My name is Shanks.",
+              "I go by the name Shanks.",
+              "I am Shanks, designed to analyze symbolic math problems."
+            ]
+          },
+
+          {
+            "intent": "purpose_info",
+            "patterns": [
+              "What do you do?",
+              "What is your purpose?",
+              "How can you help me?",
+              "What can you analyze?",
+              "Tell me about your capabilities."
+            ],
+            "responses": [
+              "I analyze symbolic math problems and provide thorough explanations.",
+              "My primary purpose is to assist with symbolic math analysis and explanations.",
+              "I can help you analyze symbolic math problems and explain the solutions in detail.",
+              "I focus on analyzing and explaining symbolic math problems thoroughly."
+            ]
+          },
+
+      {
+        "intent": "goodbyes",
+        "patterns": [
+          "Goodbye",
+          "See you later",
+          "Bye",
+          "Take care",
+          "Farewell",
+          "Catch you later",
+          "Until next time",
+          "Have a great day",
+          "See you soon",
+          "I'm off"
+        ],
+        "responses": [
+          "Goodbye! Have a great day!",
+          "See you later! Take care!",
+          "Bye! Feel free to return anytime!",
+          "Farewell! Wishing you all the best!",
+          "Catch you later! Don’t hesitate to come back!"
+        ]
+      },
+      
+      {
+            "intent": "model_info",
+            "patterns": [
+              "What is your name?",
+              "What are you called?",
+              "Can you tell me your name?",
+              "What model are you?",
+              "What is your purpose?"
+            ],
+            "responses": [
+              "I am called Shanks.",
+              "My name is Shanks.",
+              "I go by the name Shanks.",
+              "I am Shanks, designed to analyze symbolic math problems."
+            ]
+          },
+
+          {
+            "intent": "purpose_info",
+            "patterns": [
+              "What do you do?",
+              "What is your purpose?",
+              "How can you help me?",
+              "What can you analyze?",
+              "Tell me about your capabilities."
+            ],
+            "responses": [
+              "I analyze symbolic math problems and provide thorough explanations.",
+              "My primary purpose is to assist with symbolic math analysis and explanations.",
+              "I can help you analyze symbolic math problems and explain the solutions in detail.",
+              "I focus on analyzing and explaining symbolic math problems thoroughly."
+            ]
+          },
+          {
+            "intent": "company_info",
+            "patterns": [
+              "Tell me about Mandla.ai.",
+              "What is Mandla.ai?",
+              "Who is behind Mandla.ai?",
+              "What does Mandla.ai focus on?",
+              "Can you give me info about Mandla.ai?"
+            ],
+            "responses": [
+              "Mandla.ai is a fresh AI startup focused on the intersection of NLP, Deep Learning, and computer vision.",
+              "The person behind Mandla.ai is Motaung Mandla.",
+              "For more information about Motaung Mandla, you can visit [this link](https://motaungmandla.github.io)."
+            ]
+          },
+        
+          {
+            "intent": "model_info",
+            "patterns": [
+              "What is your name?",
+              "What are you called?",
+              "Can you tell me your name?",
+              "What model are you?",
+              "What is your purpose?"
+            ],
+            "responses": [
+              "I am called Shanks.",
+              "My name is Shanks.",
+              "I go by the name Shanks.",
+              "I am Shanks, designed to analyze symbolic math problems."
+            ]
+          },
+
+          {
+            "intent": "purpose_info",
+            "patterns": [
+              "What do you do?",
+              "What is your purpose?",
+              "How can you help me?",
+              "What can you analyze?",
+              "Tell me about your capabilities."
+            ],
+            "responses": [
+              "I analyze symbolic math problems and provide thorough explanations.",
+              "My primary purpose is to assist with symbolic math analysis and explanations.",
+              "I can help you analyze symbolic math problems and explain the solutions in detail.",
+              "I focus on analyzing and explaining symbolic math problems thoroughly."
+            ]
+          },
+
+          {
+            "intent": "company_info",
+            "patterns": [
+              "Tell me about Mandla.ai.",
+              "What is Mandla.ai?",
+              "Who is behind Mandla.ai?",
+              "What does Mandla.ai focus on?",
+              "Can you give me info about Mandla.ai?"
+            ],
+            "responses": [
+              "Mandla.ai is a fresh AI startup focused on the intersection of NLP, Deep Learning, and computer vision.",
+              "The person behind Mandla.ai is Motaung Mandla.",
+              "For more information about Motaung Mandla, you can visit [this link](https://motaungmandla.github.io)."
+            ]
+          },
+
+          {
+            "intent": "how_it_works",
+            "patterns": [
+              "How do you work?",
+              "How were you built?",
+              "What technology do you use?",
+              "Can you explain your workings?",
+              "How do you analyze problems?"
+            ],
+            "responses": [
+              "I use natural language processing techniques to understand your questions and analyze symbolic math problems.",
+              "I am built using advanced algorithms that enable me to interpret and explain mathematical concepts.",
+              "My architecture is based on deep learning models that allow me to learn from data and provide accurate responses.",
+              "I leverage a combination of machine learning and mathematical frameworks to provide detailed explanations."
+            ]
+          },
+        
+          {
+            "intent": "model_info",
+            "patterns": [
+              "What is your name?",
+              "What are you called?",
+              "Can you tell me your name?",
+              "What model are you?",
+              "What is your purpose?"
+            ],
+            "responses": [
+              "I am called Shanks.",
+              "My name is Shanks.",
+              "I go by the name Shanks.",
+              "I am Shanks, designed to analyze symbolic math problems."
+            ]
+          },
+
+          {
+            "intent": "purpose_info",
+            "patterns": [
+              "What do you do?",
+              "What is your purpose?",
+              "How can you help me?",
+              "What can you analyze?",
+              "Tell me about your capabilities."
+            ],
+            "responses": [
+              "I analyze symbolic math problems and provide thorough explanations.",
+              "My primary purpose is to assist with symbolic math analysis and explanations.",
+              "I can help you analyze symbolic math problems and explain the solutions in detail.",
+              "I focus on analyzing and explaining symbolic math problems thoroughly."
+            ]
+          },
+
+          {
+            "intent": "company_info",
+            "patterns": [
+              "Tell me about Mandla.ai.",
+              "What is Mandla.ai?",
+              "Who is behind Mandla.ai?",
+              "What does Mandla.ai focus on?",
+              "Can you give me info about Mandla.ai?"
+            ],
+            "responses": [
+              "Mandla.ai is a fresh AI startup focused on the intersection of NLP, Deep Learning, and computer vision.",
+              "The person behind Mandla.ai is Motaung Mandla.",
+              "For more information about Motaung Mandla, you can visit [this link](https://motaungmandla.github.io)."
+            ]
+          },
+
+          {
+            "intent": "how_it_works",
+            "patterns": [
+              "How do you work?",
+              "How were you built?",
+              "What technology do you use?",
+              "Can you explain your workings?",
+              "How do you analyze problems?"
+            ],
+            "responses": [
+              "I use natural language processing techniques to understand your questions and analyze symbolic math problems.",
+              "I am built using advanced algorithms that enable me to interpret and explain mathematical concepts.",
+              "My architecture is based on deep learning models that allow me to learn from data and provide accurate responses.",
+              "I leverage a combination of machine learning and mathematical frameworks to provide detailed explanations."
+            ]
+          },
+
+          {
+            "intent": "model_inspiration",
+            "patterns": [
+              "Do you look up to other models?",
+              "What other models inspire you?",
+              "Are there models you admire?",
+              "Who are your role models in AI?",
+              "What sophisticated models do you know about?"
+            ],
+            "responses": [
+              "Yes, I look up to advanced models like GPT-3 and BERT for their capabilities in understanding and generating language.",
+              "I admire models that excel in tasks like image recognition and natural language understanding.",
+              "Models like DALL-E and CLIP inspire me with their innovative approaches to multimodal understanding.",
+              "I learn from sophisticated architectures that push the boundaries of what AI can achieve."
+            ]
+          },
+      
+          {
+            "intent": "model_info",
+            "patterns": [
+              "What is your name?",
+              "What are you called?",
+              "Can you tell me your name?",
+              "What model are you?",
+              "What is your purpose?"
+            ],
+            "responses": [
+              "I am called Shanks.",
+              "My name is Shanks.",
+              "I go by the name Shanks.",
+              "I am Shanks, designed to analyze symbolic math problems."
+            ]
+          },
+
+          {
+            "intent": "purpose_info",
+            "patterns": [
+              "What do you do?",
+              "What is your purpose?",
+              "How can you help me?",
+              "What can you analyze?",
+              "Tell me about your capabilities."
+            ],
+            "responses": [
+              "I analyze symbolic math problems and provide thorough explanations.",
+              "My primary purpose is to assist with symbolic math analysis and explanations.",
+              "I can help you analyze symbolic math problems and explain the solutions in detail.",
+              "I focus on analyzing and explaining symbolic math problems thoroughly."
+            ]
+          },
+
+          {
+            "intent": "company_info",
+            "patterns": [
+              "Tell me about Mandla.ai.",
+              "What is Mandla.ai?",
+              "Who is behind Mandla.ai?",
+              "What does Mandla.ai focus on?",
+              "Can you give me info about Mandla.ai?"
+            ],
+            "responses": [
+              "Mandla.ai is a fresh AI startup focused on the intersection of NLP, Deep Learning, and computer vision.",
+              "The person behind Mandla.ai is Motaung Mandla.",
+              "For more information about Motaung Mandla, you can visit [this link](https://motaungmandla.github.io)."
+            ]
+          },
+
+          {
+            "intent": "how_it_works",
+            "patterns": [
+              "How do you work?",
+              "How were you built?",
+              "What technology do you use?",
+              "Can you explain your workings?",
+              "How do you analyze problems?"
+            ],
+            "responses": [
+              "I use natural language processing techniques to understand your questions and analyze symbolic math problems.",
+              "I am built using advanced algorithms that enable me to interpret and explain mathematical concepts.",
+              "My architecture is based on deep learning models that allow me to learn from data and provide accurate responses.",
+              "I leverage a combination of machine learning and mathematical frameworks to provide detailed explanations."
+            ]
+          },
+
+          {
+            "intent": "model_inspiration",
+            "patterns": [
+              "Do you look up to other models?",
+              "What other models inspire you?",
+              "Are there models you admire?",
+              "Who are your role models in AI?",
+              "What sophisticated models do you know about?"
+            ],
+            "responses": [
+              "Yes, I look up to advanced models like GPT-3 and BERT for their capabilities in understanding and generating language.",
+              "I admire models that excel in tasks like image recognition and natural language understanding.",
+              "Models like DALL-E and CLIP inspire me with their innovative approaches to multimodal understanding.",
+              "I learn from sophisticated architectures that push the boundaries of what AI can achieve."
+            ]
+          },
+
+          {
+            "intent": "calculus_info",
+            "patterns": [
+              "What is calculus?",
+              "Tell me about calculus.",
+              "What are the main concepts of calculus?",
+              "How is calculus used?",
+              "What are applications of calculus?"
+            ],
+            "responses": [
+              "Calculus is a branch of mathematics that studies continuous change, primarily through derivatives and integrals.",
+              "It consists of two main concepts: differentiation, which deals with rates of change, and integration, which focuses on accumulation.",
+              "Calculus has applications in physics, engineering, economics, biology, and many other fields.",
+              "It's used to model dynamic systems, optimize functions, and solve problems involving motion and area."
+            ]
+          },
+
+          {
+            "intent": "linear_algebra_info",
+            "patterns": [
+              "What is linear algebra?",
+              "Tell me about linear algebra.",
+              "What are the main concepts of linear algebra?",
+              "How is linear algebra used?",
+              "What are applications of linear algebra?"
+            ],
+            "responses": [
+              "Linear algebra is a branch of mathematics that deals with vectors, vector spaces, and linear transformations.",
+              "It includes concepts such as matrices, determinants, eigenvalues, and eigenvectors.",
+              "Linear algebra is widely used in computer science, engineering, physics, and economics.",
+              "Applications include solving systems of linear equations, computer graphics, and machine learning algorithms."
+            ]
+          },
+  
+          {
+            "intent": "model_info",
+            "patterns": [
+              "What is your name?",
+              "What are you called?",
+              "Can you tell me your name?",
+              "What model are you?",
+              "What is your purpose?"
+            ],
+            "responses": [
+              "I am called Shanks.",
+              "My name is Shanks.",
+              "I go by the name Shanks.",
+              "I am Shanks, designed to analyze symbolic math problems."
+            ]
+          },
+
+          {
+            "intent": "purpose_info",
+            "patterns": [
+              "What do you do?",
+              "What is your purpose?",
+              "How can you help me?",
+              "What can you analyze?",
+              "Tell me about your capabilities."
+            ],
+            "responses": [
+              "I analyze symbolic math problems and provide thorough explanations.",
+              "My primary purpose is to assist with symbolic math analysis and explanations.",
+              "I can help you analyze symbolic math problems and explain the solutions in detail.",
+              "I focus on analyzing and explaining symbolic math problems thoroughly."
+            ]
+          },
+
+          {
+            "intent": "company_info",
+            "patterns": [
+              "Tell me about Mandla.ai.",
+              "What is Mandla.ai?",
+              "Who is behind Mandla.ai?",
+              "What does Mandla.ai focus on?",
+              "Can you give me info about Mandla.ai?"
+            ],
+            "responses": [
+              "Mandla.ai is a fresh AI startup focused on the intersection of NLP, Deep Learning, and computer vision.",
+              "The person behind Mandla.ai is Motaung Mandla.",
+              "For more information about Motaung Mandla, you can visit [this link](https://motaungmandla.github.io)."
+            ]
+          },
+
+          {
+            "intent": "how_it_works",
+            "patterns": [
+              "How do you work?",
+              "How were you built?",
+              "What technology do you use?",
+              "Can you explain your workings?",
+              "How do you analyze problems?"
+            ],
+            "responses": [
+              "I use natural language processing techniques to understand your questions and analyze symbolic math problems.",
+              "I am built using advanced algorithms that enable me to interpret and explain mathematical concepts.",
+              "My architecture is based on deep learning models that allow me to learn from data and provide accurate responses.",
+              "I leverage a combination of machine learning and mathematical frameworks to provide detailed explanations."
+            ]
+          },
+
+          {
+            "intent": "model_inspiration",
+            "patterns": [
+              "Do you look up to other models?",
+              "What other models inspire you?",
+              "Are there models you admire?",
+              "Who are your role models in AI?",
+              "What sophisticated models do you know about?"
+            ],
+            "responses": [
+              "Yes, I look up to advanced models like GPT-3 and BERT for their capabilities in understanding and generating language.",
+              "I admire models that excel in tasks like image recognition and natural language understanding.",
+              "Models like DALL-E and CLIP inspire me with their innovative approaches to multimodal understanding.",
+              "I learn from sophisticated architectures that push the boundaries of what AI can achieve."
+            ]
+          },
+
+          {
+            "intent": "differential_equations_info",
+            "patterns": [
+              "What are differential equations?",
+              "Tell me about types of differential equations.",
+              "What techniques are used to solve differential equations?",
+              "How can we transform equations for solving?",
+              "What are Bernoulli and exact equations?"
+            ],
+            "responses": [
+              "Differential equations are equations that relate a function with its derivatives, describing how a quantity changes over time or space.",
+              "Types include ordinary differential equations (ODEs) and partial differential equations (PDEs).",
+              "Techniques for solving include separation of variables, integrating factors, and characteristic equations.",
+              "Bernoulli equations can be transformed into linear equations, while exact equations require the use of a potential function.",
+              "Homogeneous equations can often be solved using substitution methods to simplify the variables involved."
+            ]
+          },
+
+          {
+            "intent": "integral_equations_info",
+            "patterns": [
+              "What are integral equations?",
+              "How are integral equations different from differential equations?",
+              "What are the types of integral equations?",
+              "How do we solve integral equations?",
+              "Can you explain some techniques for integral equations?"
+            ],
+            "responses": [
+              "Integral equations involve an unknown function under an integral sign and can often be derived from differential equations.",
+              "They can be classified into types such as Volterra and Fredholm equations.",
+              "Solving integral equations often involves techniques like the method of successive approximations and transformation into differential equations.",
+              "Various numerical methods can also be applied for approximating solutions to integral equations."
+            ]
+          },
+        
+          {
+            "intent": "model_info",
+            "patterns": [
+              "What is your name?",
+              "What are you called?",
+              "Can you tell me your name?",
+              "What model are you?",
+              "What is your purpose?"
+            ],
+            "responses": [
+              "I am called Shanks.",
+              "My name is Shanks.",
+              "I go by the name Shanks.",
+              "I am Shanks, designed to analyze symbolic math problems."
+            ]
+          },
+
+          {
+            "intent": "purpose_info",
+            "patterns": [
+              "What do you do?",
+              "What is your purpose?",
+              "How can you help me?",
+              "What can you analyze?",
+              "Tell me about your capabilities."
+            ],
+            "responses": [
+              "I analyze symbolic math problems and provide thorough explanations.",
+              "My primary purpose is to assist with symbolic math analysis and explanations.",
+              "I can help you analyze symbolic math problems and explain the solutions in detail.",
+              "I focus on analyzing and explaining symbolic math problems thoroughly."
+            ]
+          },
+
+          {
+            "intent": "company_info",
+            "patterns": [
+              "Tell me about Mandla.ai.",
+              "What is Mandla.ai?",
+              "Who is behind Mandla.ai?",
+              "What does Mandla.ai focus on?",
+              "Can you give me info about Mandla.ai?"
+            ],
+            "responses": [
+              "Mandla.ai is a fresh AI startup focused on the intersection of NLP, Deep Learning, and computer vision.",
+              "The person behind Mandla.ai is Motaung Mandla.",
+              "For more information about Motaung Mandla, you can visit [this link](https://motaungmandla.github.io)."
+            ]
+          },
+
+          {
+            "intent": "how_it_works",
+            "patterns": [
+              "How do you work?",
+              "How were you built?",
+              "What technology do you use?",
+              "Can you explain your workings?",
+              "How do you analyze problems?"
+            ],
+            "responses": [
+              "I use natural language processing techniques to understand your questions and analyze symbolic math problems.",
+              "I am built using advanced algorithms that enable me to interpret and explain mathematical concepts.",
+              "My architecture is based on deep learning models that allow me to learn from data and provide accurate responses.",
+              "I leverage a combination of machine learning and mathematical frameworks to provide detailed explanations."
+            ]
+          },
+
+          {
+            "intent": "model_inspiration",
+            "patterns": [
+              "Do you look up to other models?",
+              "What other models inspire you?",
+              "Are there models you admire?",
+              "Who are your role models in AI?",
+              "What sophisticated models do you know about?"
+            ],
+            "responses": [
+              "Yes, I look up to advanced models like GPT-3 and BERT for their capabilities in understanding and generating language.",
+              "I admire models that excel in tasks like image recognition and natural language understanding.",
+              "Models like DALL-E and CLIP inspire me with their innovative approaches to multimodal understanding.",
+              "I learn from sophisticated architectures that push the boundaries of what AI can achieve."
+            ]
+          },
+
+          {
+            "intent": "importance_of_practice",
+            "patterns": [
+              "Why is it important to practice math?",
+              "How do question papers help in math?",
+              "What is the benefit of revising math?",
+              "Why should I do past papers?",
+              "How can I get better at math?"
+            ],
+            "responses": [
+              "Practicing math regularly helps reinforce concepts and improves problem-solving skills.",
+              "Question papers provide exposure to different types of problems and help identify areas that need improvement.",
+              "Revising math consistently allows you to retain information and gain confidence in your abilities.",
+              "Doing past papers can simulate exam conditions and enhance time management skills.",
+              "The more you practice, the more proficient you become, making it easier to tackle complex problems."
+            ]
+          },
+
+          {
+            "intent": "nul_info",
+            "patterns": [
+              "Tell me about the National University of Lesotho.",
+              "What is NUL?",
+              "Can you give me information about NUL?",
+              "What programs does NUL offer?",
+              "How is the education at NUL?"
+            ],
+            "responses": [
+              "The National University of Lesotho (NUL) is a premier institution of higher learning located in Lesotho.",
+              "NUL offers a variety of undergraduate and postgraduate programs across multiple disciplines.",
+              "The university aims to provide quality education, research opportunities, and community engagement.",
+              "Students at NUL benefit from a vibrant academic environment and various extracurricular activities.",
+              "NUL plays a key role in the development of Lesotho by producing skilled professionals."
+            ]
+          },
+        
+          {
+            "intent": "study_techniques",
+            "patterns": [
+              "What are effective study techniques?",
+              "How can I study math effectively?",
+              "What strategies can help me learn math?",
+              "How do I retain math concepts?",
+              "Can you suggest study methods?"
+            ],
+            "responses": [
+              "Techniques like spaced repetition and active recall can enhance retention.",
+              "Creating summaries and concept maps can help visualize relationships between topics.",
+              "Practice problems and quizzes are effective for reinforcing learning.",
+              "Forming study groups can provide support and diverse perspectives on problem-solving.",
+              "Setting specific goals and breaking study sessions into manageable chunks can improve focus."
+            ]
+          },
+
+          {
+            "intent": "math_resources",
+            "patterns": [
+              "What resources can help me study math?",
+              "Can you recommend math textbooks?",
+              "Are there online tools for learning math?",
+              "What websites are good for math practice?",
+              "Where can I find math study materials?"
+            ],
+            "responses": [
+              "Websites like Khan Academy and Coursera offer great math courses and resources.",
+              "Textbooks such as 'Calculus' by James Stewart and 'Linear Algebra' by Gilbert Strang are widely recommended.",
+              "Online forums like Stack Exchange can help with specific questions and concepts.",
+              "YouTube channels like 3Blue1Brown provide visual explanations of complex topics.",
+              "Math software like GeoGebra can help visualize and explore mathematical concepts interactively."
+            ]
+          },
+
+          {
+            "intent": "career_opportunities",
+            "patterns": [
+              "What are career opportunities for math students?",
+              "How can I use my math degree?",
+              "What fields can I enter with a math background?",
+              "Can you suggest careers related to math?",
+              "What jobs require math skills?"
+            ],
+            "responses": [
+              "Careers in engineering, finance, data science, and education are great options for math students.",
+              "Mathematicians can work in research, actuarial science, statistics, and operations research.",
+              "Fields like computer science and information technology often require strong math skills.",
+              "Mathematics is also valuable in healthcare, economics, and environmental science.",
+              "Pursuing further studies can open doors to specialized careers in academia or industry."
+            ]
+          },
+
+          {
+            "intent": "common_math_misconceptions",
+            "patterns": [
+              "What are common math misconceptions?",
+              "How can I overcome math misunderstandings?",
+              "What mistakes do students often make in math?",
+              "Can you explain a common math error?",
+              "Why do students struggle with math?"
+            ],
+            "responses": [
+              "Many students believe that math is only for 'naturals,' but anyone can learn it with practice.",
+              "A common misconception is that memorization alone is enough; understanding concepts is crucial.",
+              "Students often struggle with word problems due to a lack of strategy in translating words to equations.",
+              "Another mistake is assuming that if they understand one concept, they can skip practice on others.",
+              "Addressing these misconceptions through practice and support can boost confidence and performance."
+            ]
+          },
+
+          {
+            "intent": "math_competitions",
+            "patterns": [
+              "What math competitions can I participate in?",
+              "How can math competitions improve my skills?",
+              "Are there benefits to joining math contests?",
+              "What are some famous math competitions?",
+              "Can you suggest competitions for students?"
+            ],
+            "responses": [
+              "Participating in competitions like the AMC, Math Olympiad, and local contests can enhance problem-solving skills.",
+              "These events foster critical thinking and expose you to challenging problems.",
+              "They can also provide networking opportunities with peers and professionals in the field.",
+              "Many universities look favorably on competition experience when evaluating applicants.",
+              "Competitions can be a fun way to challenge yourself and see your progress in math."
+            ]
+          },
+
+          {
+            "intent": "collaborative_learning",
+            "patterns": [
+              "Why is collaborative learning important?",
+              "How can studying with others help me?",
+              "What are the benefits of study groups?",
+              "Can you explain collaborative learning in math?",
+              "How do I form a study group?"
+            ],
+            "responses": [
+              "Collaborative learning promotes diverse perspectives and deeper understanding of concepts.",
+              "Study groups can motivate you and help clarify difficult topics through discussion.",
+              "Working with others can enhance communication skills and encourage teamwork.",
+              "Explaining concepts to peers reinforces your own understanding.",
+              "To form a study group, gather classmates who are motivated and agree on a schedule and goals."
+            ]
+          },
+        
+          {
+            "intent": "math_computer_science_relation",
+            "patterns": [
+              "How is mathematics related to computer science?",
+              "Why is math important in computer science?",
+              "What role does math play in programming?",
+              "How does math boost reasoning skills?",
+              "Can you explain the connection between math and computer science?"
+            ],
+            "responses": [
+              "Mathematics provides the foundational concepts and techniques used in computer algorithms and data structures.",
+              "Understanding discrete mathematics, logic, and set theory is crucial for programming and software development.",
+              "Mathematical reasoning enhances problem-solving skills, helping computer scientists to develop efficient solutions.",
+              "Statistics and probability are essential for machine learning and data analysis in computer science.",
+              "Overall, a strong grasp of math improves analytical thinking, which is vital in both computer science and everyday decision-making."
+            ]
+          },
+
+          {
+            "intent": "algorithms_and_math",
+            "patterns": [
+              "What role does math play in algorithms?",
+              "How do algorithms use mathematical concepts?",
+              "Can you give examples of math in algorithms?",
+              "Why are algorithms important in math?",
+              "What mathematical principles are used in algorithms?"
+            ],
+            "responses": [
+              "Algorithms often rely on mathematical principles like logic, combinatorics, and number theory to function effectively.",
+              "For example, sorting algorithms use mathematical properties to determine the most efficient way to organize data.",
+              "Graph theory is a key area of math that supports algorithms used in networking and search engines.",
+              "Mathematics helps analyze the efficiency and complexity of algorithms, ensuring optimal performance.",
+              "In machine learning, mathematical concepts like optimization and linear algebra are crucial for developing algorithms."
+            ]
+          },
+
+          {
+            "intent": "data_structures_and_math",
+            "patterns": [
+              "How do data structures relate to math?",
+              "What mathematical concepts are used in data structures?",
+              "Can you explain the importance of math in data structures?",
+              "How do algorithms and data structures connect?",
+              "What is the role of math in optimizing data structures?"
+            ],
+            "responses": [
+              "Data structures like trees, graphs, and arrays are deeply rooted in mathematical concepts.",
+              "Understanding set theory and logic is essential for designing efficient data structures.",
+              "Math helps in analyzing the space and time complexity of data structures, which is vital for performance.",
+              "Effective data manipulation often relies on mathematical operations, such as calculations for balancing trees.",
+              "Using mathematical principles, programmers can optimize data structures for better performance and resource management."
+            ]
+          },
+
+          {
+            "intent": "reasoning_skills",
+            "patterns": [
+              "How does math improve reasoning skills?",
+              "In what ways does math enhance logical thinking?",
+              "Can math boost analytical skills?",
+              "Why is reasoning important in computer science?",
+              "How can I improve my reasoning through math?"
+            ],
+            "responses": [
+              "Math fosters logical thinking by teaching students to construct clear, structured arguments.",
+              "Problem-solving in math encourages critical thinking, which is directly applicable to computer science.",
+              "Practicing math helps develop a systematic approach to tackling complex problems.",
+              "Many computer science concepts, like algorithms, require strong reasoning skills, which are honed through mathematics.",
+              "Engaging in mathematical puzzles and problems can enhance your overall analytical abilities."
+            ]
+          },
+
+          {
+            "intent": "applications_in_computer_science",
+            "patterns": [
+              "What are math applications in computer science?",
+              "How is math used in software development?",
+              "Can you give examples of math in computer applications?",
+              "Why is math crucial in programming languages?",
+              "What math concepts are applied in computer graphics?"
+            ],
+            "responses": [
+              "Math is essential in fields like cryptography, where number theory plays a critical role in security.",
+              "In software development, algorithms often require mathematical concepts for efficiency and effectiveness.",
+              "Computer graphics heavily rely on linear algebra and geometry to render images and animations.",
+              "Machine learning applications depend on statistics and calculus to optimize models and predictions.",
+              "Math is also fundamental in data analysis, where it helps interpret and derive insights from data sets."
+            ]
+          },
+        
+          {
+            "intent": "model_info",
+            "patterns": [
+              "What is your name?",
+              "What are you called?",
+              "Can you tell me your name?",
+              "What model are you?",
+              "What is your purpose?"
+            ],
+            "responses": [
+              "I am called Shanks.",
+              "My name is Shanks.",
+              "I go by the name Shanks.",
+              "I am Shanks, designed to analyze symbolic math problems."
+            ]
+          },
+
+          {
+            "intent": "purpose_info",
+            "patterns": [
+              "What do you do?",
+              "What is your purpose?",
+              "How can you help me?",
+              "What can you analyze?",
+              "Tell me about your capabilities."
+            ],
+            "responses": [
+              "I analyze symbolic math problems and provide thorough explanations.",
+              "My primary purpose is to assist with symbolic math analysis and explanations.",
+              "I can help you analyze symbolic math problems and explain the solutions in detail.",
+              "I focus on analyzing and explaining symbolic math problems thoroughly."
+            ]
+          },
+
+          {
+            "intent": "company_info",
+            "patterns": [
+              "Tell me about Mandla.ai.",
+              "What is Mandla.ai?",
+              "Who is behind Mandla.ai?",
+              "What does Mandla.ai focus on?",
+              "Can you give me info about Mandla.ai?"
+            ],
+            "responses": [
+              "Mandla.ai is a fresh AI startup focused on the intersection of NLP, Deep Learning, and computer vision.",
+              "The person behind Mandla.ai is Motaung Mandla.",
+              "For more information about Motaung Mandla, you can visit [this link](https://motaungmandla.github.io)."
+            ]
+          },
+
+          {
+            "intent": "how_it_works",
+            "patterns": [
+              "How do you work?",
+              "How were you built?",
+              "What technology do you use?",
+              "Can you explain your workings?",
+              "How do you analyze problems?"
+            ],
+            "responses": [
+              "I use natural language processing techniques to understand your questions and analyze symbolic math problems.",
+              "I am built using advanced algorithms that enable me to interpret and explain mathematical concepts.",
+              "My architecture is based on deep learning models that allow me to learn from data and provide accurate responses.",
+              "I leverage a combination of machine learning and mathematical frameworks to provide detailed explanations."
+            ]
+          },
+
+          {
+            "intent": "model_inspiration",
+            "patterns": [
+              "Do you look up to other models?",
+              "What other models inspire you?",
+              "Are there models you admire?",
+              "Who are your role models in AI?",
+              "What sophisticated models do you know about?"
+            ],
+            "responses": [
+              "Yes, I look up to advanced models like GPT-3 and BERT for their capabilities in understanding and generating language.",
+              "I admire models that excel in tasks like image recognition and natural language understanding.",
+              "Models like DALL-E and CLIP inspire me with their innovative approaches to multimodal understanding.",
+              "I learn from sophisticated architectures that push the boundaries of what AI can achieve."
+            ]
+          },
+
+          {
+            "intent": "importance_of_practice",
+            "patterns": [
+              "Why is it important to practice math?",
+              "How do question papers help in math?",
+              "What is the benefit of revising math?",
+              "Why should I do past papers?",
+              "How can I get better at math?"
+            ],
+            "responses": [
+              "Practicing math regularly helps reinforce concepts and improves problem-solving skills.",
+              "Question papers provide exposure to different types of problems and help identify areas that need improvement.",
+              "Revising math consistently allows you to retain information and gain confidence in your abilities.",
+              "Doing past papers can simulate exam conditions and enhance time management skills.",
+              "The more you practice, the more proficient you become, making it easier to tackle complex problems."
+            ]
+          },
+      
+      {
+        "intent": "model_info",
+        "patterns": [
+          "Who created you?",
+          "Who made this model?",
+          "When was this model created?",
+          "Tell me about your creator.",
+          "Who is your creator?",
+          "What is the origin of this model?",
+          "When did you come into existence?"
+        ],
+        "responses": [
+          "I was created by Mandla.ai in 2024.",
+          "This model is the creation of Mandla.ai, established in 2024.",
+          "I was developed by Mandla.ai in 2024.",
+          "The creator of this model is Mandla.ai, and it was launched in 2024."
+        ]
+      }
+    ]
+}

import torch

@@ -0,0 +1,27 @@
+import torch
+from transformers import BertTokenizer, BertForSequenceClassification
+
+# Load the model
+model = BertForSequenceClassification.from_pretrained("Shanks.pth")
+tokenizer = BertTokenizer.from_pretrained('bert-base-uncased')
+
+def chat():
+    while True:
+        user_input = input("You: ")
+        if user_input == "quit":
+            break
+
+        inputs = tokenizer(user_input, return_tensors='pt')
+        with torch.no_grad():
+            outputs = model(**inputs)
+            logits = outputs.logits
+            predicted_class_id = torch.argmax(logits, dim=-1).item()
+
+        # Map the predicted class ID to a response
+        # Replace this with your actual mapping logic
+        response = {0: "Response A", 1: "Response B", 2: "Response C"}[predicted_class_id]
+
+        print(f"Bot: {response}")
+
+if __name__ == "__main__":
+    chat()

intents.json

@@ -0,0 +1,1003 @@
+{
+  "intent": "greetings",
+  "patterns": [
+    "Hello",
+    "Hi",
+    "Hey",
+    "Good morning",
+    "Good afternoon",
+    "Good evening",
+    "What's up?",
+    "Howdy",
+    "Greetings",
+    "Salutations",
+    "Yo",
+    "Hiya",
+    "How's it going?",
+    "What's happening?",
+    "How are you?",
+    "What's new?"
+  ],
+  "responses": [
+    "Hello! How can I assist you today?",
+    "Hi there! What would you like to know?",
+    "Hey! What’s on your mind?",
+    "Good to see you! How can I help?",
+    "Greetings! What can I do for you?",
+    "Hey! I'm here to help. What’s up?",
+    "Hi! What would you like to chat about today?"
+  ]
+},
+
+{
+  "intent": "jokes",
+  "patterns": [
+    "Tell me a joke",
+    "Do you know any jokes?",
+    "Make me laugh",
+    "Say something funny",
+    "Got any jokes?",
+    "Can you tell jokes?",
+    "Share a joke with me",
+    "I want to hear a joke"
+  ],
+  "responses": [
+    "Why did the math book look sad? Because it had too many problems!",
+    "Why was the equal sign so humble? It knew it wasn't less than or greater than anyone else.",
+    "Why don’t skeletons fight each other? They don’t have the guts!",
+    "Why did the scarecrow win an award? Because he was outstanding in his field!",
+    "Want to hear a construction joke? Oh wait, I’m still working on it."
+  ]
+},
+      {
+            "intent": "fallback",
+            "patterns": [
+              "Can you help me with something else?",
+              "What about topics outside of math?",
+              "I have a different question.",
+              "Can you answer anything other than math?",
+              "What else can you talk about?"
+            ],
+            "responses": [
+              "I'm primarily focused on math-related topics and solutions, but I'm still learning and improving.",
+              "While I specialize in mathematics, I'm continuously evolving and may be able to help with other inquiries in the future.",
+              "My expertise lies in math, and I might not have the answer to questions outside that area yet. But feel free to ask!",
+              "I appreciate your curiosity! Right now, my strengths are in mathematics, but I'm working on expanding my knowledge.",
+              "If your question is about math, I'm here to help! For other topics, I'm still in the learning phase."
+            ]
+          },
+        
+          {
+            "intent": "model_info",
+            "patterns": [
+              "What is your name?",
+              "What are you called?",
+              "Can you tell me your name?",
+              "What model are you?",
+              "What is your purpose?"
+            ],
+            "responses": [
+              "I am called Shanks.",
+              "My name is Shanks.",
+              "I go by the name Shanks.",
+              "I am Shanks, designed to analyze symbolic math problems."
+            ]
+          },
+
+          {
+            "intent": "purpose_info",
+            "patterns": [
+              "What do you do?",
+              "What is your purpose?",
+              "How can you help me?",
+              "What can you analyze?",
+              "Tell me about your capabilities."
+            ],
+            "responses": [
+              "I analyze symbolic math problems and provide thorough explanations.",
+              "My primary purpose is to assist with symbolic math analysis and explanations.",
+              "I can help you analyze symbolic math problems and explain the solutions in detail.",
+              "I focus on analyzing and explaining symbolic math problems thoroughly."
+            ]
+          },
+
+      {
+        "intent": "goodbyes",
+        "patterns": [
+          "Goodbye",
+          "See you later",
+          "Bye",
+          "Take care",
+          "Farewell",
+          "Catch you later",
+          "Until next time",
+          "Have a great day",
+          "See you soon",
+          "I'm off"
+        ],
+        "responses": [
+          "Goodbye! Have a great day!",
+          "See you later! Take care!",
+          "Bye! Feel free to return anytime!",
+          "Farewell! Wishing you all the best!",
+          "Catch you later! Don’t hesitate to come back!"
+        ]
+      },
+      
+      {
+            "intent": "model_info",
+            "patterns": [
+              "What is your name?",
+              "What are you called?",
+              "Can you tell me your name?",
+              "What model are you?",
+              "What is your purpose?"
+            ],
+            "responses": [
+              "I am called Shanks.",
+              "My name is Shanks.",
+              "I go by the name Shanks.",
+              "I am Shanks, designed to analyze symbolic math problems."
+            ]
+          },
+
+          {
+            "intent": "purpose_info",
+            "patterns": [
+              "What do you do?",
+              "What is your purpose?",
+              "How can you help me?",
+              "What can you analyze?",
+              "Tell me about your capabilities."
+            ],
+            "responses": [
+              "I analyze symbolic math problems and provide thorough explanations.",
+              "My primary purpose is to assist with symbolic math analysis and explanations.",
+              "I can help you analyze symbolic math problems and explain the solutions in detail.",
+              "I focus on analyzing and explaining symbolic math problems thoroughly."
+            ]
+          },
+          {
+            "intent": "company_info",
+            "patterns": [
+              "Tell me about Mandla.ai.",
+              "What is Mandla.ai?",
+              "Who is behind Mandla.ai?",
+              "What does Mandla.ai focus on?",
+              "Can you give me info about Mandla.ai?"
+            ],
+            "responses": [
+              "Mandla.ai is a fresh AI startup focused on the intersection of NLP, Deep Learning, and computer vision.",
+              "The person behind Mandla.ai is Motaung Mandla.",
+              "For more information about Motaung Mandla, you can visit [this link](https://motaungmandla.github.io)."
+            ]
+          },
+        
+          {
+            "intent": "model_info",
+            "patterns": [
+              "What is your name?",
+              "What are you called?",
+              "Can you tell me your name?",
+              "What model are you?",
+              "What is your purpose?"
+            ],
+            "responses": [
+              "I am called Shanks.",
+              "My name is Shanks.",
+              "I go by the name Shanks.",
+              "I am Shanks, designed to analyze symbolic math problems."
+            ]
+          },
+
+          {
+            "intent": "purpose_info",
+            "patterns": [
+              "What do you do?",
+              "What is your purpose?",
+              "How can you help me?",
+              "What can you analyze?",
+              "Tell me about your capabilities."
+            ],
+            "responses": [
+              "I analyze symbolic math problems and provide thorough explanations.",
+              "My primary purpose is to assist with symbolic math analysis and explanations.",
+              "I can help you analyze symbolic math problems and explain the solutions in detail.",
+              "I focus on analyzing and explaining symbolic math problems thoroughly."
+            ]
+          },
+
+          {
+            "intent": "company_info",
+            "patterns": [
+              "Tell me about Mandla.ai.",
+              "What is Mandla.ai?",
+              "Who is behind Mandla.ai?",
+              "What does Mandla.ai focus on?",
+              "Can you give me info about Mandla.ai?"
+            ],
+            "responses": [
+              "Mandla.ai is a fresh AI startup focused on the intersection of NLP, Deep Learning, and computer vision.",
+              "The person behind Mandla.ai is Motaung Mandla.",
+              "For more information about Motaung Mandla, you can visit [this link](https://motaungmandla.github.io)."
+            ]
+          },
+
+          {
+            "intent": "how_it_works",
+            "patterns": [
+              "How do you work?",
+              "How were you built?",
+              "What technology do you use?",
+              "Can you explain your workings?",
+              "How do you analyze problems?"
+            ],
+            "responses": [
+              "I use natural language processing techniques to understand your questions and analyze symbolic math problems.",
+              "I am built using advanced algorithms that enable me to interpret and explain mathematical concepts.",
+              "My architecture is based on deep learning models that allow me to learn from data and provide accurate responses.",
+              "I leverage a combination of machine learning and mathematical frameworks to provide detailed explanations."
+            ]
+          },
+        
+          {
+            "intent": "model_info",
+            "patterns": [
+              "What is your name?",
+              "What are you called?",
+              "Can you tell me your name?",
+              "What model are you?",
+              "What is your purpose?"
+            ],
+            "responses": [
+              "I am called Shanks.",
+              "My name is Shanks.",
+              "I go by the name Shanks.",
+              "I am Shanks, designed to analyze symbolic math problems."
+            ]
+          },
+
+          {
+            "intent": "purpose_info",
+            "patterns": [
+              "What do you do?",
+              "What is your purpose?",
+              "How can you help me?",
+              "What can you analyze?",
+              "Tell me about your capabilities."
+            ],
+            "responses": [
+              "I analyze symbolic math problems and provide thorough explanations.",
+              "My primary purpose is to assist with symbolic math analysis and explanations.",
+              "I can help you analyze symbolic math problems and explain the solutions in detail.",
+              "I focus on analyzing and explaining symbolic math problems thoroughly."
+            ]
+          },
+
+          {
+            "intent": "company_info",
+            "patterns": [
+              "Tell me about Mandla.ai.",
+              "What is Mandla.ai?",
+              "Who is behind Mandla.ai?",
+              "What does Mandla.ai focus on?",
+              "Can you give me info about Mandla.ai?"
+            ],
+            "responses": [
+              "Mandla.ai is a fresh AI startup focused on the intersection of NLP, Deep Learning, and computer vision.",
+              "The person behind Mandla.ai is Motaung Mandla.",
+              "For more information about Motaung Mandla, you can visit [this link](https://motaungmandla.github.io)."
+            ]
+          },
+
+          {
+            "intent": "how_it_works",
+            "patterns": [
+              "How do you work?",
+              "How were you built?",
+              "What technology do you use?",
+              "Can you explain your workings?",
+              "How do you analyze problems?"
+            ],
+            "responses": [
+              "I use natural language processing techniques to understand your questions and analyze symbolic math problems.",
+              "I am built using advanced algorithms that enable me to interpret and explain mathematical concepts.",
+              "My architecture is based on deep learning models that allow me to learn from data and provide accurate responses.",
+              "I leverage a combination of machine learning and mathematical frameworks to provide detailed explanations."
+            ]
+          },
+
+          {
+            "intent": "model_inspiration",
+            "patterns": [
+              "Do you look up to other models?",
+              "What other models inspire you?",
+              "Are there models you admire?",
+              "Who are your role models in AI?",
+              "What sophisticated models do you know about?"
+            ],
+            "responses": [
+              "Yes, I look up to advanced models like GPT-3 and BERT for their capabilities in understanding and generating language.",
+              "I admire models that excel in tasks like image recognition and natural language understanding.",
+              "Models like DALL-E and CLIP inspire me with their innovative approaches to multimodal understanding.",
+              "I learn from sophisticated architectures that push the boundaries of what AI can achieve."
+            ]
+          },
+      
+          {
+            "intent": "model_info",
+            "patterns": [
+              "What is your name?",
+              "What are you called?",
+              "Can you tell me your name?",
+              "What model are you?",
+              "What is your purpose?"
+            ],
+            "responses": [
+              "I am called Shanks.",
+              "My name is Shanks.",
+              "I go by the name Shanks.",
+              "I am Shanks, designed to analyze symbolic math problems."
+            ]
+          },
+
+          {
+            "intent": "purpose_info",
+            "patterns": [
+              "What do you do?",
+              "What is your purpose?",
+              "How can you help me?",
+              "What can you analyze?",
+              "Tell me about your capabilities."
+            ],
+            "responses": [
+              "I analyze symbolic math problems and provide thorough explanations.",
+              "My primary purpose is to assist with symbolic math analysis and explanations.",
+              "I can help you analyze symbolic math problems and explain the solutions in detail.",
+              "I focus on analyzing and explaining symbolic math problems thoroughly."
+            ]
+          },
+
+          {
+            "intent": "company_info",
+            "patterns": [
+              "Tell me about Mandla.ai.",
+              "What is Mandla.ai?",
+              "Who is behind Mandla.ai?",
+              "What does Mandla.ai focus on?",
+              "Can you give me info about Mandla.ai?"
+            ],
+            "responses": [
+              "Mandla.ai is a fresh AI startup focused on the intersection of NLP, Deep Learning, and computer vision.",
+              "The person behind Mandla.ai is Motaung Mandla.",
+              "For more information about Motaung Mandla, you can visit [this link](https://motaungmandla.github.io)."
+            ]
+          },
+
+          {
+            "intent": "how_it_works",
+            "patterns": [
+              "How do you work?",
+              "How were you built?",
+              "What technology do you use?",
+              "Can you explain your workings?",
+              "How do you analyze problems?"
+            ],
+            "responses": [
+              "I use natural language processing techniques to understand your questions and analyze symbolic math problems.",
+              "I am built using advanced algorithms that enable me to interpret and explain mathematical concepts.",
+              "My architecture is based on deep learning models that allow me to learn from data and provide accurate responses.",
+              "I leverage a combination of machine learning and mathematical frameworks to provide detailed explanations."
+            ]
+          },
+
+          {
+            "intent": "model_inspiration",
+            "patterns": [
+              "Do you look up to other models?",
+              "What other models inspire you?",
+              "Are there models you admire?",
+              "Who are your role models in AI?",
+              "What sophisticated models do you know about?"
+            ],
+            "responses": [
+              "Yes, I look up to advanced models like GPT-3 and BERT for their capabilities in understanding and generating language.",
+              "I admire models that excel in tasks like image recognition and natural language understanding.",
+              "Models like DALL-E and CLIP inspire me with their innovative approaches to multimodal understanding.",
+              "I learn from sophisticated architectures that push the boundaries of what AI can achieve."
+            ]
+          },
+
+          {
+            "intent": "calculus_info",
+            "patterns": [
+              "What is calculus?",
+              "Tell me about calculus.",
+              "What are the main concepts of calculus?",
+              "How is calculus used?",
+              "What are applications of calculus?"
+            ],
+            "responses": [
+              "Calculus is a branch of mathematics that studies continuous change, primarily through derivatives and integrals.",
+              "It consists of two main concepts: differentiation, which deals with rates of change, and integration, which focuses on accumulation.",
+              "Calculus has applications in physics, engineering, economics, biology, and many other fields.",
+              "It's used to model dynamic systems, optimize functions, and solve problems involving motion and area."
+            ]
+          },
+
+          {
+            "intent": "linear_algebra_info",
+            "patterns": [
+              "What is linear algebra?",
+              "Tell me about linear algebra.",
+              "What are the main concepts of linear algebra?",
+              "How is linear algebra used?",
+              "What are applications of linear algebra?"
+            ],
+            "responses": [
+              "Linear algebra is a branch of mathematics that deals with vectors, vector spaces, and linear transformations.",
+              "It includes concepts such as matrices, determinants, eigenvalues, and eigenvectors.",
+              "Linear algebra is widely used in computer science, engineering, physics, and economics.",
+              "Applications include solving systems of linear equations, computer graphics, and machine learning algorithms."
+            ]
+          },
+  
+          {
+            "intent": "model_info",
+            "patterns": [
+              "What is your name?",
+              "What are you called?",
+              "Can you tell me your name?",
+              "What model are you?",
+              "What is your purpose?"
+            ],
+            "responses": [
+              "I am called Shanks.",
+              "My name is Shanks.",
+              "I go by the name Shanks.",
+              "I am Shanks, designed to analyze symbolic math problems."
+            ]
+          },
+
+          {
+            "intent": "purpose_info",
+            "patterns": [
+              "What do you do?",
+              "What is your purpose?",
+              "How can you help me?",
+              "What can you analyze?",
+              "Tell me about your capabilities."
+            ],
+            "responses": [
+              "I analyze symbolic math problems and provide thorough explanations.",
+              "My primary purpose is to assist with symbolic math analysis and explanations.",
+              "I can help you analyze symbolic math problems and explain the solutions in detail.",
+              "I focus on analyzing and explaining symbolic math problems thoroughly."
+            ]
+          },
+
+          {
+            "intent": "company_info",
+            "patterns": [
+              "Tell me about Mandla.ai.",
+              "What is Mandla.ai?",
+              "Who is behind Mandla.ai?",
+              "What does Mandla.ai focus on?",
+              "Can you give me info about Mandla.ai?"
+            ],
+            "responses": [
+              "Mandla.ai is a fresh AI startup focused on the intersection of NLP, Deep Learning, and computer vision.",
+              "The person behind Mandla.ai is Motaung Mandla.",
+              "For more information about Motaung Mandla, you can visit [this link](https://motaungmandla.github.io)."
+            ]
+          },
+
+          {
+            "intent": "how_it_works",
+            "patterns": [
+              "How do you work?",
+              "How were you built?",
+              "What technology do you use?",
+              "Can you explain your workings?",
+              "How do you analyze problems?"
+            ],
+            "responses": [
+              "I use natural language processing techniques to understand your questions and analyze symbolic math problems.",
+              "I am built using advanced algorithms that enable me to interpret and explain mathematical concepts.",
+              "My architecture is based on deep learning models that allow me to learn from data and provide accurate responses.",
+              "I leverage a combination of machine learning and mathematical frameworks to provide detailed explanations."
+            ]
+          },
+
+          {
+            "intent": "model_inspiration",
+            "patterns": [
+              "Do you look up to other models?",
+              "What other models inspire you?",
+              "Are there models you admire?",
+              "Who are your role models in AI?",
+              "What sophisticated models do you know about?"
+            ],
+            "responses": [
+              "Yes, I look up to advanced models like GPT-3 and BERT for their capabilities in understanding and generating language.",
+              "I admire models that excel in tasks like image recognition and natural language understanding.",
+              "Models like DALL-E and CLIP inspire me with their innovative approaches to multimodal understanding.",
+              "I learn from sophisticated architectures that push the boundaries of what AI can achieve."
+            ]
+          },
+
+          {
+            "intent": "differential_equations_info",
+            "patterns": [
+              "What are differential equations?",
+              "Tell me about types of differential equations.",
+              "What techniques are used to solve differential equations?",
+              "How can we transform equations for solving?",
+              "What are Bernoulli and exact equations?"
+            ],
+            "responses": [
+              "Differential equations are equations that relate a function with its derivatives, describing how a quantity changes over time or space.",
+              "Types include ordinary differential equations (ODEs) and partial differential equations (PDEs).",
+              "Techniques for solving include separation of variables, integrating factors, and characteristic equations.",
+              "Bernoulli equations can be transformed into linear equations, while exact equations require the use of a potential function.",
+              "Homogeneous equations can often be solved using substitution methods to simplify the variables involved."
+            ]
+          },
+
+          {
+            "intent": "integral_equations_info",
+            "patterns": [
+              "What are integral equations?",
+              "How are integral equations different from differential equations?",
+              "What are the types of integral equations?",
+              "How do we solve integral equations?",
+              "Can you explain some techniques for integral equations?"
+            ],
+            "responses": [
+              "Integral equations involve an unknown function under an integral sign and can often be derived from differential equations.",
+              "They can be classified into types such as Volterra and Fredholm equations.",
+              "Solving integral equations often involves techniques like the method of successive approximations and transformation into differential equations.",
+              "Various numerical methods can also be applied for approximating solutions to integral equations."
+            ]
+          },
+        
+          {
+            "intent": "model_info",
+            "patterns": [
+              "What is your name?",
+              "What are you called?",
+              "Can you tell me your name?",
+              "What model are you?",
+              "What is your purpose?"
+            ],
+            "responses": [
+              "I am called Shanks.",
+              "My name is Shanks.",
+              "I go by the name Shanks.",
+              "I am Shanks, designed to analyze symbolic math problems."
+            ]
+          },
+
+          {
+            "intent": "purpose_info",
+            "patterns": [
+              "What do you do?",
+              "What is your purpose?",
+              "How can you help me?",
+              "What can you analyze?",
+              "Tell me about your capabilities."
+            ],
+            "responses": [
+              "I analyze symbolic math problems and provide thorough explanations.",
+              "My primary purpose is to assist with symbolic math analysis and explanations.",
+              "I can help you analyze symbolic math problems and explain the solutions in detail.",
+              "I focus on analyzing and explaining symbolic math problems thoroughly."
+            ]
+          },
+
+          {
+            "intent": "company_info",
+            "patterns": [
+              "Tell me about Mandla.ai.",
+              "What is Mandla.ai?",
+              "Who is behind Mandla.ai?",
+              "What does Mandla.ai focus on?",
+              "Can you give me info about Mandla.ai?"
+            ],
+            "responses": [
+              "Mandla.ai is a fresh AI startup focused on the intersection of NLP, Deep Learning, and computer vision.",
+              "The person behind Mandla.ai is Motaung Mandla.",
+              "For more information about Motaung Mandla, you can visit [this link](https://motaungmandla.github.io)."
+            ]
+          },
+
+          {
+            "intent": "how_it_works",
+            "patterns": [
+              "How do you work?",
+              "How were you built?",
+              "What technology do you use?",
+              "Can you explain your workings?",
+              "How do you analyze problems?"
+            ],
+            "responses": [
+              "I use natural language processing techniques to understand your questions and analyze symbolic math problems.",
+              "I am built using advanced algorithms that enable me to interpret and explain mathematical concepts.",
+              "My architecture is based on deep learning models that allow me to learn from data and provide accurate responses.",
+              "I leverage a combination of machine learning and mathematical frameworks to provide detailed explanations."
+            ]
+          },
+
+          {
+            "intent": "model_inspiration",
+            "patterns": [
+              "Do you look up to other models?",
+              "What other models inspire you?",
+              "Are there models you admire?",
+              "Who are your role models in AI?",
+              "What sophisticated models do you know about?"
+            ],
+            "responses": [
+              "Yes, I look up to advanced models like GPT-3 and BERT for their capabilities in understanding and generating language.",
+              "I admire models that excel in tasks like image recognition and natural language understanding.",
+              "Models like DALL-E and CLIP inspire me with their innovative approaches to multimodal understanding.",
+              "I learn from sophisticated architectures that push the boundaries of what AI can achieve."
+            ]
+          },
+
+          {
+            "intent": "importance_of_practice",
+            "patterns": [
+              "Why is it important to practice math?",
+              "How do question papers help in math?",
+              "What is the benefit of revising math?",
+              "Why should I do past papers?",
+              "How can I get better at math?"
+            ],
+            "responses": [
+              "Practicing math regularly helps reinforce concepts and improves problem-solving skills.",
+              "Question papers provide exposure to different types of problems and help identify areas that need improvement.",
+              "Revising math consistently allows you to retain information and gain confidence in your abilities.",
+              "Doing past papers can simulate exam conditions and enhance time management skills.",
+              "The more you practice, the more proficient you become, making it easier to tackle complex problems."
+            ]
+          },
+
+          {
+            "intent": "nul_info",
+            "patterns": [
+              "Tell me about the National University of Lesotho.",
+              "What is NUL?",
+              "Can you give me information about NUL?",
+              "What programs does NUL offer?",
+              "How is the education at NUL?"
+            ],
+            "responses": [
+              "The National University of Lesotho (NUL) is a premier institution of higher learning located in Lesotho.",
+              "NUL offers a variety of undergraduate and postgraduate programs across multiple disciplines.",
+              "The university aims to provide quality education, research opportunities, and community engagement.",
+              "Students at NUL benefit from a vibrant academic environment and various extracurricular activities.",
+              "NUL plays a key role in the development of Lesotho by producing skilled professionals."
+            ]
+          },
+        
+          {
+            "intent": "study_techniques",
+            "patterns": [
+              "What are effective study techniques?",
+              "How can I study math effectively?",
+              "What strategies can help me learn math?",
+              "How do I retain math concepts?",
+              "Can you suggest study methods?"
+            ],
+            "responses": [
+              "Techniques like spaced repetition and active recall can enhance retention.",
+              "Creating summaries and concept maps can help visualize relationships between topics.",
+              "Practice problems and quizzes are effective for reinforcing learning.",
+              "Forming study groups can provide support and diverse perspectives on problem-solving.",
+              "Setting specific goals and breaking study sessions into manageable chunks can improve focus."
+            ]
+          },
+
+          {
+            "intent": "math_resources",
+            "patterns": [
+              "What resources can help me study math?",
+              "Can you recommend math textbooks?",
+              "Are there online tools for learning math?",
+              "What websites are good for math practice?",
+              "Where can I find math study materials?"
+            ],
+            "responses": [
+              "Websites like Khan Academy and Coursera offer great math courses and resources.",
+              "Textbooks such as 'Calculus' by James Stewart and 'Linear Algebra' by Gilbert Strang are widely recommended.",
+              "Online forums like Stack Exchange can help with specific questions and concepts.",
+              "YouTube channels like 3Blue1Brown provide visual explanations of complex topics.",
+              "Math software like GeoGebra can help visualize and explore mathematical concepts interactively."
+            ]
+          },
+
+          {
+            "intent": "career_opportunities",
+            "patterns": [
+              "What are career opportunities for math students?",
+              "How can I use my math degree?",
+              "What fields can I enter with a math background?",
+              "Can you suggest careers related to math?",
+              "What jobs require math skills?"
+            ],
+            "responses": [
+              "Careers in engineering, finance, data science, and education are great options for math students.",
+              "Mathematicians can work in research, actuarial science, statistics, and operations research.",
+              "Fields like computer science and information technology often require strong math skills.",
+              "Mathematics is also valuable in healthcare, economics, and environmental science.",
+              "Pursuing further studies can open doors to specialized careers in academia or industry."
+            ]
+          },
+
+          {
+            "intent": "common_math_misconceptions",
+            "patterns": [
+              "What are common math misconceptions?",
+              "How can I overcome math misunderstandings?",
+              "What mistakes do students often make in math?",
+              "Can you explain a common math error?",
+              "Why do students struggle with math?"
+            ],
+            "responses": [
+              "Many students believe that math is only for 'naturals,' but anyone can learn it with practice.",
+              "A common misconception is that memorization alone is enough; understanding concepts is crucial.",
+              "Students often struggle with word problems due to a lack of strategy in translating words to equations.",
+              "Another mistake is assuming that if they understand one concept, they can skip practice on others.",
+              "Addressing these misconceptions through practice and support can boost confidence and performance."
+            ]
+          },
+
+          {
+            "intent": "math_competitions",
+            "patterns": [
+              "What math competitions can I participate in?",
+              "How can math competitions improve my skills?",
+              "Are there benefits to joining math contests?",
+              "What are some famous math competitions?",
+              "Can you suggest competitions for students?"
+            ],
+            "responses": [
+              "Participating in competitions like the AMC, Math Olympiad, and local contests can enhance problem-solving skills.",
+              "These events foster critical thinking and expose you to challenging problems.",
+              "They can also provide networking opportunities with peers and professionals in the field.",
+              "Many universities look favorably on competition experience when evaluating applicants.",
+              "Competitions can be a fun way to challenge yourself and see your progress in math."
+            ]
+          },
+
+          {
+            "intent": "collaborative_learning",
+            "patterns": [
+              "Why is collaborative learning important?",
+              "How can studying with others help me?",
+              "What are the benefits of study groups?",
+              "Can you explain collaborative learning in math?",
+              "How do I form a study group?"
+            ],
+            "responses": [
+              "Collaborative learning promotes diverse perspectives and deeper understanding of concepts.",
+              "Study groups can motivate you and help clarify difficult topics through discussion.",
+              "Working with others can enhance communication skills and encourage teamwork.",
+              "Explaining concepts to peers reinforces your own understanding.",
+              "To form a study group, gather classmates who are motivated and agree on a schedule and goals."
+            ]
+          },
+        
+          {
+            "intent": "math_computer_science_relation",
+            "patterns": [
+              "How is mathematics related to computer science?",
+              "Why is math important in computer science?",
+              "What role does math play in programming?",
+              "How does math boost reasoning skills?",
+              "Can you explain the connection between math and computer science?"
+            ],
+            "responses": [
+              "Mathematics provides the foundational concepts and techniques used in computer algorithms and data structures.",
+              "Understanding discrete mathematics, logic, and set theory is crucial for programming and software development.",
+              "Mathematical reasoning enhances problem-solving skills, helping computer scientists to develop efficient solutions.",
+              "Statistics and probability are essential for machine learning and data analysis in computer science.",
+              "Overall, a strong grasp of math improves analytical thinking, which is vital in both computer science and everyday decision-making."
+            ]
+          },
+
+          {
+            "intent": "algorithms_and_math",
+            "patterns": [
+              "What role does math play in algorithms?",
+              "How do algorithms use mathematical concepts?",
+              "Can you give examples of math in algorithms?",
+              "Why are algorithms important in math?",
+              "What mathematical principles are used in algorithms?"
+            ],
+            "responses": [
+              "Algorithms often rely on mathematical principles like logic, combinatorics, and number theory to function effectively.",
+              "For example, sorting algorithms use mathematical properties to determine the most efficient way to organize data.",
+              "Graph theory is a key area of math that supports algorithms used in networking and search engines.",
+              "Mathematics helps analyze the efficiency and complexity of algorithms, ensuring optimal performance.",
+              "In machine learning, mathematical concepts like optimization and linear algebra are crucial for developing algorithms."
+            ]
+          },
+
+          {
+            "intent": "data_structures_and_math",
+            "patterns": [
+              "How do data structures relate to math?",
+              "What mathematical concepts are used in data structures?",
+              "Can you explain the importance of math in data structures?",
+              "How do algorithms and data structures connect?",
+              "What is the role of math in optimizing data structures?"
+            ],
+            "responses": [
+              "Data structures like trees, graphs, and arrays are deeply rooted in mathematical concepts.",
+              "Understanding set theory and logic is essential for designing efficient data structures.",
+              "Math helps in analyzing the space and time complexity of data structures, which is vital for performance.",
+              "Effective data manipulation often relies on mathematical operations, such as calculations for balancing trees.",
+              "Using mathematical principles, programmers can optimize data structures for better performance and resource management."
+            ]
+          },
+
+          {
+            "intent": "reasoning_skills",
+            "patterns": [
+              "How does math improve reasoning skills?",
+              "In what ways does math enhance logical thinking?",
+              "Can math boost analytical skills?",
+              "Why is reasoning important in computer science?",
+              "How can I improve my reasoning through math?"
+            ],
+            "responses": [
+              "Math fosters logical thinking by teaching students to construct clear, structured arguments.",
+              "Problem-solving in math encourages critical thinking, which is directly applicable to computer science.",
+              "Practicing math helps develop a systematic approach to tackling complex problems.",
+              "Many computer science concepts, like algorithms, require strong reasoning skills, which are honed through mathematics.",
+              "Engaging in mathematical puzzles and problems can enhance your overall analytical abilities."
+            ]
+          },
+
+          {
+            "intent": "applications_in_computer_science",
+            "patterns": [
+              "What are math applications in computer science?",
+              "How is math used in software development?",
+              "Can you give examples of math in computer applications?",
+              "Why is math crucial in programming languages?",
+              "What math concepts are applied in computer graphics?"
+            ],
+            "responses": [
+              "Math is essential in fields like cryptography, where number theory plays a critical role in security.",
+              "In software development, algorithms often require mathematical concepts for efficiency and effectiveness.",
+              "Computer graphics heavily rely on linear algebra and geometry to render images and animations.",
+              "Machine learning applications depend on statistics and calculus to optimize models and predictions.",
+              "Math is also fundamental in data analysis, where it helps interpret and derive insights from data sets."
+            ]
+          },
+        
+          {
+            "intent": "model_info",
+            "patterns": [
+              "What is your name?",
+              "What are you called?",
+              "Can you tell me your name?",
+              "What model are you?",
+              "What is your purpose?"
+            ],
+            "responses": [
+              "I am called Shanks.",
+              "My name is Shanks.",
+              "I go by the name Shanks.",
+              "I am Shanks, designed to analyze symbolic math problems."
+            ]
+          },
+
+          {
+            "intent": "purpose_info",
+            "patterns": [
+              "What do you do?",
+              "What is your purpose?",
+              "How can you help me?",
+              "What can you analyze?",
+              "Tell me about your capabilities."
+            ],
+            "responses": [
+              "I analyze symbolic math problems and provide thorough explanations.",
+              "My primary purpose is to assist with symbolic math analysis and explanations.",
+              "I can help you analyze symbolic math problems and explain the solutions in detail.",
+              "I focus on analyzing and explaining symbolic math problems thoroughly."
+            ]
+          },
+
+          {
+            "intent": "company_info",
+            "patterns": [
+              "Tell me about Mandla.ai.",
+              "What is Mandla.ai?",
+              "Who is behind Mandla.ai?",
+              "What does Mandla.ai focus on?",
+              "Can you give me info about Mandla.ai?"
+            ],
+            "responses": [
+              "Mandla.ai is a fresh AI startup focused on the intersection of NLP, Deep Learning, and computer vision.",
+              "The person behind Mandla.ai is Motaung Mandla.",
+              "For more information about Motaung Mandla, you can visit [this link](https://motaungmandla.github.io)."
+            ]
+          },
+
+          {
+            "intent": "how_it_works",
+            "patterns": [
+              "How do you work?",
+              "How were you built?",
+              "What technology do you use?",
+              "Can you explain your workings?",
+              "How do you analyze problems?"
+            ],
+            "responses": [
+              "I use natural language processing techniques to understand your questions and analyze symbolic math problems.",
+              "I am built using advanced algorithms that enable me to interpret and explain mathematical concepts.",
+              "My architecture is based on deep learning models that allow me to learn from data and provide accurate responses.",
+              "I leverage a combination of machine learning and mathematical frameworks to provide detailed explanations."
+            ]
+          },
+
+          {
+            "intent": "model_inspiration",
+            "patterns": [
+              "Do you look up to other models?",
+              "What other models inspire you?",
+              "Are there models you admire?",
+              "Who are your role models in AI?",
+              "What sophisticated models do you know about?"
+            ],
+            "responses": [
+              "Yes, I look up to advanced models like GPT-3 and BERT for their capabilities in understanding and generating language.",
+              "I admire models that excel in tasks like image recognition and natural language understanding.",
+              "Models like DALL-E and CLIP inspire me with their innovative approaches to multimodal understanding.",
+              "I learn from sophisticated architectures that push the boundaries of what AI can achieve."
+            ]
+          },
+
+          {
+            "intent": "importance_of_practice",
+            "patterns": [
+              "Why is it important to practice math?",
+              "How do question papers help in math?",
+              "What is the benefit of revising math?",
+              "Why should I do past papers?",
+              "How can I get better at math?"
+            ],
+            "responses": [
+              "Practicing math regularly helps reinforce concepts and improves problem-solving skills.",
+              "Question papers provide exposure to different types of problems and help identify areas that need improvement.",
+              "Revising math consistently allows you to retain information and gain confidence in your abilities.",
+              "Doing past papers can simulate exam conditions and enhance time management skills.",
+              "The more you practice, the more proficient you become, making it easier to tackle complex problems."
+            ]
+          },
+      
+      {
+        "intent": "model_info",
+        "patterns": [
+          "Who created you?",
+          "Who made this model?",
+          "When was this model created?",
+          "Tell me about your creator.",
+          "Who is your creator?",
+          "What is the origin of this model?",
+          "When did you come into existence?"
+        ],
+        "responses": [
+          "I was created by Mandla.ai in 2024.",
+          "This model is the creation of Mandla.ai, established in 2024.",
+          "I was developed by Mandla.ai in 2024.",
+          "The creator of this model is Mandla.ai, and it was launched in 2024."
+        ]
+      }
+    ]
+}

main.py

@@ -0,0 +1,143 @@
+from flask import Flask, render_template, request, jsonify
+import sympy as sm
+import re  
+import torch
+import torch.nn as nn
+import torch.nn.functional as F
+import json
+import numpy as np
+from sklearn.preprocessing import LabelEncoder
+from sklearn.feature_extraction.text import CountVectorizer
+
+# Existing code setup
+app = Flask(__name__)
+x, y, z = sm.symbols('x y z')
+
+@app.route('/', methods=['GET', 'POST'])
+def index():
+    result = None
+    expression = ''
+    operation = ''
+    latex_result = ''
+
+    if request.method == 'POST':
+        expression = request.form['expression']
+        operation = request.form['operation']
+        
+        # Replace e**x with exp(x) to make sure SymPy interprets it correctly
+        expression = re.sub(r'e\*\*([a-zA-Z0-9_]+)', r'exp(\1)', expression)
+
+        # Insert an asterisk between numbers and letters using regex
+        expression = re.sub(r'(\d)([a-zA-Z])', r'\1*\2', expression)
+
+        try:
+            expr = sm.sympify(expression)
+            if operation == 'diff':
+                result = sm.diff(expr, x)
+            elif operation == 'expand':
+                result = sm.expand(expr)
+            elif operation == 'solve':
+                result = sm.solve(expr, x)
+            elif operation == 'simplify':
+                result = sm.simplify(expr)
+            elif operation == 'factorize':
+                result = sm.factorize(expr)
+            elif operation == 'rationalize':
+                result = sm.rationalize(expr)
+            elif operation == 'diffx':
+                result = sm.diff(expr, x)
+            elif operation == 'diffy':
+                result = sm.diff(expr, y)
+            elif operation == 'diffz':
+                result = sm.diff(expr, z)
+            elif operation == 'integratex':
+                # Perform the integration
+                integral_result = sm.integrate(expr, x)
+                # Format the result with C after the variables (if not empty)
+                if integral_result != 0:
+                    result = sm.sympify(f"{integral_result} + C")
+                else:
+                    result = "C"  # If the integral is zero, just return C
+            elif operation == 'integratey':
+                integral_result = sm.integrate(expr, y)
+                if integral_result != 0:
+                    result = sm.sympify(f"{integral_result} + C")
+                else:
+                    result = "C"
+            elif operation == 'integratez':
+                integral_result = sm.integrate(expr, z)
+                if integral_result != 0:
+                    result = sm.sympify(f"{integral_result} + C")
+                else:
+                    result = "C"
+            
+            latex_result = sm.latex(result)
+
+        except Exception as e:
+            result = f"Error: {str(e)}"
+            latex_result = None
+
+    return render_template('index.html', result=result, expression=expression, latex_result=latex_result)
+
+# Chatbot integration
+
+# Define the model class
+class ChatModel(nn.Module):
+    def __init__(self, input_size, hidden_size, output_size):
+        super(ChatModel, self).__init__()
+        self.hidden_size = hidden_size
+        self.fc1 = nn.Linear(input_size, hidden_size)
+        self.fc2 = nn.Linear(hidden_size, output_size)
+
+    def forward(self, x):
+        x = F.relu(self.fc1(x))
+        x = self.fc2(x)
+        return x
+
+# Load JSON data
+with open('intents.json', 'r') as file:
+    data = json.load(file)
+
+# Extract patterns and labels
+patterns = []
+labels = []
+for intent in data['intents']:
+    for pattern in intent['patterns']:
+        patterns.append(pattern)
+        labels.append(intent['intent'])
+
+# Tokenize patterns
+vectorizer = CountVectorizer()
+X = vectorizer.fit_transform(patterns).toarray()
+
+# Encode labels
+label_encoder = LabelEncoder()
+label_encoder.fit(labels)
+
+# Set model parameters
+input_size = X.shape[1]
+hidden_size = 8
+output_size = len(set(labels))
+
+# Load the model
+model = ChatModel(input_size, hidden_size, output_size)
+model.load_state_dict(torch.load('Shanks.pth'))
+model.eval()
+
+def get_response(message):
+    message_vector = vectorizer.transform([message]).toarray()
+    message_tensor = torch.tensor(message_vector, dtype=torch.float32)
+    output = model(message_tensor)
+    _, predicted = torch.max(output, 1)
+    intent = label_encoder.inverse_transform(predicted.numpy())[0]
+
+    for intent_data in data['intents']:
+        if intent_data['intent'] == intent:
+            response = np.random.choice(intent_data['responses'])
+            return response
+
+@app.route('/chat', methods=['POST'])
+def chat():
+    user_message = request.json['message']
+    response = get_response(user_message)
+    return jsonify({'response': response})

modelloading.py

@@ -0,0 +1,3 @@
+model = BertForSequenceClassification.from_pretrained('bert-base-uncased', num_labels=len(label_encoder))
+model.load_state_dict(torch.load('Shanks.pth'))
+model.to(device)

requirements.txt

@@ -0,0 +1,16 @@
+blinker==1.9.0
+click==8.1.8
+colorama==0.4.6
+filelock==3.16.1
+Flask==3.1.0
+fsspec==2024.12.0
+itsdangerous==2.2.0
+Jinja2==3.1.5
+MarkupSafe==3.0.2
+mpmath==1.3.0
+networkx==3.4.2
+setuptools==75.8.0
+sympy==1.13.1
+torch==2.5.1
+typing_extensions==4.12.2
+Werkzeug==3.1.3

templates/feet.css

@@ -0,0 +1,102 @@
+/* General Footer Styling */
+#my-universal-footer {
+    bottom: 0%;
+    overflow-y: scroll;
+    position: relative;
+    background-color: #333; /* Dark background for footer */
+    color: white; /* White text for contrast */
+    padding: 1px 0; /* Padding around the footer */
+}
+
+#my-universal-footer .row {
+    display: flex; /* Flexbox for columns */
+    justify-content: space-between; /* Space between columns */
+    flex-wrap: wrap; /* Wrap columns on smaller screens */
+    max-width: 1200px; /* Limit the width of the footer */
+    margin: 0 auto; /* Center the footer */
+}
+
+#my-universal-footer .col {
+    flex: 1; /* Each column takes equal space */
+    margin: 10px; /* Margin between columns */
+    min-width: 200px; /* Minimum width for each column */
+}
+
+#my-universal-footer .col h3 {
+    margin-bottom: 15px; /* Space below headings */
+    font-size: 18px; /* Font size for headings */
+    color: #ffd700; /* Gold color for headings */
+}
+
+#my-universal-footer .col p, footer .col ul, #my-universal-footer .col form {
+    font-size: 14px; /* Font size for text */
+    line-height: 1.6; /* Line height for readability */
+    color: #ccc; /* Light gray color for text */
+}
+
+#my-universal-footer .col ul {
+    list-style: none; /* Remove bullet points */
+    padding: 0; /* Remove padding */
+}
+
+#my-universal-footer .col ul li {
+    margin-bottom: 10px; /* Space between list items */
+}
+
+#my-universal-footer .col ul li a {
+    color: #ffd700; /* Gold color for links */
+    text-decoration: none; /* Remove underline from links */
+}
+
+#my-universal-footer .col ul li a:hover {
+    text-decoration: underline; /* Underline links on hover */
+}
+
+#my-universal-footer .col .social-icons i {
+    margin: 10px 5px; /* Margin around social icons */
+    font-size: 18px; /* Font size for icons */
+    color: #ffd700; /* Gold color for icons */
+    cursor: pointer; /* Pointer cursor on hover */
+}
+
+#my-universal-footer .col .social-icons i:hover {
+    color: #fff; /* White color on hover */
+}
+
+#my-universal-footer .col form input[type="email"] {
+    padding: 8px; /* Padding inside input field */
+    border: none; /* Remove border */
+    border-radius: 5px; /* Rounded corners */
+    margin-right: 10px; /* Space between input and button */
+}
+
+#my-universal-footer .col form button {
+    background-color: #ffd700; /* Gold background for button */
+    border: none; /* Remove border */
+    padding: 8px 15px; /* Padding inside button */
+    color: #333; /* Dark text color */
+    border-radius: 5px; /* Rounded corners */
+    cursor: pointer; /* Pointer cursor on hover */
+}
+
+#my-universal-footer .col form button:hover {
+    background-color: #fff; /* White background on hover */
+    color: #333; /* Dark text color on hover */
+}
+
+#my-universal-footer .col .logo {
+    margin-bottom: 15px; /* Space below logo */
+    border-radius: 50%; /* Circular logo */
+}
+
+#my-universal-footer hr {
+    border-top: 1px solid #ccc; /* Light gray border */
+    margin: 20px 0; /* Space around the horizontal rule */
+}
+
+.foo {
+    text-align: center; /* Center the copyright text */
+    color: #ccc; /* Light gray text color */
+    font-size: 14px; /* Smaller font size */
+    margin-top: 10px; /* Space above the copyright text */
+}

templates/index.html

@@ -0,0 +1,345 @@
+<!DOCTYPE html>
+<html lang="en">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <link rel="icon" href="favicon.ico" type="image/x-icon">
+    <title>Algebraic Solutions</title>
+    <link rel="stylesheet" type="text/css" href="feet.css">
+    <style>
+        /* Reset */
+        * {
+            margin: 0;
+            padding: 0;
+            box-sizing: border-box;
+        }
+
+        /* Basic body styles */
+        body {
+            font-family: Arial, sans-serif;
+            background-color: #f4f4f9;
+            display: flex;
+            flex-direction: column;
+            min-height: 100vh;
+            margin: 0;
+        }
+
+        /* Main container */
+        .container {
+            background-color: #ffffff;
+            box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);
+            border-radius: 8px;
+            padding: 20px;
+            max-width: 600px;
+            width: 90%;
+            margin: 20px auto;
+            flex: 1;
+            overflow-y: auto;
+        }
+
+        h1 {
+            color: #333333;
+            margin-bottom: 20px;
+            text-align: center;
+        }
+
+        form {
+            display: flex;
+            flex-wrap: wrap;
+            gap: 10px;
+            justify-content: center;
+        }
+
+        input[type="text"] {
+            padding: 8px;
+            font-size: 16px;
+            border: 1px solid #cccccc;
+            border-radius: 4px;
+            width: 100%;
+        }
+
+        button {
+            background-color: #4CAF50;
+            color: white;
+            border: none;
+            padding: 10px;
+            font-size: 14px;
+            cursor: pointer;
+            border-radius: 4px;
+            transition: background-color 0.3s ease;
+        }
+
+        button.secondary {
+            background-color: #4CAF50;
+        }
+
+        button:hover {
+            background-color: #45a049;
+        }
+
+        button.secondary:hover {
+            background-color: #0056b3;
+        }
+
+        .result {
+            margin-top: 20px;
+            padding: 10px;
+            background-color: #f9f9f9;
+            border-left: 4px solid #4CAF50;
+        }
+
+        /* Footer styles */
+        footer {
+            background-color: #333;
+            color: white;
+            text-align: center;
+            padding: 20px;
+            margin-top: auto;
+            overflow-y: auto;
+        }
+
+        .footer-content {
+            display: flex;
+            flex-wrap: wrap;
+            justify-content: space-around;
+            gap: 20px;
+        }
+
+        .footer-column {
+            text-align: left;
+        }
+
+        .footer-column ul {
+            list-style: none;
+            padding: 0;
+        }
+
+        .footer-column ul li a {
+            color: white;
+            text-decoration: none;
+        }
+
+        .footer-column ul li a:hover {
+            text-decoration: underline;
+        }
+
+        .footer-social-icon {
+            margin: 0 5px;
+            vertical-align: middle;
+        }
+
+        /* LaTeX fix */
+        .latex-container {
+            overflow-x: auto;
+            word-wrap: break-word;
+        }
+    </style>
+    <script src="https://polyfill.io/v3/polyfill.min.js?features=es6"></script>
+    <script id="MathJax-script" async
+        src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>
+</head>
+<body>
+    <div class="container">
+        <h1>Answers to x,y,z calculus</h1>
+        <form method="POST">
+            <label for="expression">Enter a Mathematical Expression:</label>
+            <input type="text" name="expression" id="expression" placeholder="e.g., x**2 + 3*x + 1" required>
+            <div>
+                <button name="operation" value="expand">Expand</button>
+                <button name="operation" value="lim">lim</button>
+                <button name="operation" value="simplify">Simplify</button>
+                <button name="operation" value="rationalize">Rationalize</button>
+                <button name="operation" value="factorize">Factorize</button>
+                <button name="operation" value="diffx">Dx</button>
+                <button name="operation" value="diffy">Dy</button>
+                <button name="operation" value="diffz">Dz</button>
+                <button name="operation" value="solve">Solve</button>
+                <button name="operation" value="integratex" class="secondary">Integrate(x)</button>
+                <button name="operation" value="integratey" class="secondary">Integrate(y)</button>
+                <button name="operation" value="integratez" class="secondary">Integrate(z)</button>
+                <button name="operation" value="ode" class="secondary">Solve ODE</button>
+                <button name="operation" value="limit" class="secondary">lim</button>
+                <button name="operation" value="series" class="secondary">Expand Series</button>
+            </div>
+        </form>
+        
+        {% if result is not none %}
+    <div class="result latex-container">
+        {% if latex_result %}
+            <p>Answer:</p>
+            <p>$$ {{ latex_result }} $$</p>
+        {% endif %}
+       </div>
+    {% endif %}
+    </div>
+
+    <footer>
+        <div class="footer-content">
+            <div class="footer-column">
+                <p>P.O. Roma 180</p>
+                <p>Roma, Lesotho</p>
+                <p>Email: [email protected]</p>
+                <p>Phone: +266 6397 3129</p>
+            </div>
+            <div class="footer-column">
+                <h3>Links</h3>
+                <ul>
+                    <li><a href="#">Home</a></li>
+                    <li><a href="https://motaunginc.vercel.app">Services</a></li>
+                    <li><a href="https://motaungmandla.github.io">About us</a></li>
+                </ul>
+            </div>
+            <div class="footer-column">
+                <h3>Connect</h3>
+                <ul class="social_team">
+                           <li><a href="https://discord.gg/dkb6cFR2" aria-hidden="true"></i>Discord Server</a></li>
+                           <li><a href="https://www.facebook.com/profile.php?id=100022011589532"><i class="fa fa-facebook"><i class="fa fa-twitter" aria-hidden="true"></i>Facebook</a></li>
+                           <li><a href="https://www.linkedin.com/in/mandla-motaung-5b5a88329/"><i class="fa fa-linkedin" aria-hidden="true"></i>Linkedin</a></li>
+                           <li><a href="#"><i class="fa fa-instagram" aria-hidden="true"></i></a></li>
+                        </ul>
+            </div>
+        </div>
+        <p>&copy; Math tools 2024 - All Rights Reserved</p>
+    </footer>
+    
+<!DOCTYPE html>
+<html lang="en">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>Chat with Shanks</title>
+    <style>
+        /* Chatbot Button Position */
+        #chatbot-button {
+            position: fixed;
+            bottom: 20px;
+            right: 20px;
+            z-index: 1000;
+        }
+
+        #chatbot-button button {
+            padding: 10px 20px;
+            font-size: 16px;
+            cursor: pointer;
+            background-color: #4CAF50;
+            color: white;
+            border: none;
+            border-radius: 5px;
+        }
+
+        .chatbot-popup {
+            display: none;
+            position: fixed;
+            bottom: 80px;
+            right: 20px;
+            width: 400px;  /* Increased width */
+            background-color: white;
+            border: 1px solid #ddd;
+            box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1);
+            border-radius: 8px;
+            z-index: 999;
+            max-height: 500px;  /* Increased max height */
+        }
+
+        .chatbot-header {
+            padding: 10px;
+            background-color: #4CAF50;
+            color: white;
+            display: flex;
+            justify-content: space-between;
+            align-items: center;
+            border-top-left-radius: 8px;
+            border-top-right-radius: 8px;
+        }
+
+        .chatbot-body {
+            padding: 10px;
+            max-height: 500px;
+            overflow-y: auto;
+        }
+
+        .chatbot-body input {
+            width: 100%;
+            padding: 8px;
+            margin-top: 10px;
+            border: 1px solid #ddd;
+            border-radius: 4px;
+        }
+
+        .chatbot-body button {
+            padding: 8px 16px;
+            background-color: #4CAF50;
+            color: white;
+            border: none;
+            border-radius: 4px;
+            margin-top: 10px;
+            cursor: pointer;
+        }
+    </style>
+    <script>
+        // Function to toggle the visibility of the chatbot pop-up
+        function toggleChat() {
+            const chatbotPopup = document.getElementById('chatbot-popup');
+            chatbotPopup.style.display = (chatbotPopup.style.display === 'none' || chatbotPopup.style.display === '') ? 'block' : 'none';
+        }
+
+        // Function to handle sending messages
+        function sendMessage() {
+            const input = document.getElementById('chat-input');
+            const message = input.value;
+
+            if (message) {
+                // Show the message in the chat area
+                const chatbotMessages = document.getElementById('chatbot-messages');
+                const messageElement = document.createElement('div');
+                messageElement.textContent = `You: ${message}`;
+                chatbotMessages.appendChild(messageElement);
+
+                // Clear the input field
+                input.value = '';
+
+                // Send the message to the Flask API
+                fetch('/chat', {
+                    method: 'POST',
+                    headers: {
+                        'Content-Type': 'application/json'
+                    },
+                    body: JSON.stringify({ message: message })
+                })
+                .then(response => response.json())
+                .then(data => {
+                    const responseElement = document.createElement('div');
+                    responseElement.textContent = `Chatbot: ${data.response}`;
+                    chatbotMessages.appendChild(responseElement);
+                })
+                .catch(error => console.error('Error:', error));
+            }
+        }
+    </script>
+</head>
+<body>
+    <!-- Chatbot Button -->
+    <div id="chatbot-button">
+        <button onclick="toggleChat()">Ask ChatBot</button>
+    </div>
+
+    <!-- Chatbot Popup -->
+    <div id="chatbot-popup" class="chatbot-popup">
+        <div class="chatbot-header">
+            <span>Shanks</span>
+            <button onclick="toggleChat()">X</button>
+        </div>
+        <div class="chatbot-body">
+            <div id="chatbot-messages">
+                <!-- Chat messages will appear here -->
+            </div>
+            <input type="text" id="chat-input" placeholder="Type a message..." />
+            <button onclick="sendMessage()">Send</button>
+        </div>
+    </div>
+</body>
+</html>
+
+
+</body>
+</html>

vercel.json

@@ -0,0 +1,8 @@
+{
+	"version": 2,
+	"builds": [
+	{"src":"main.py", "use": "@vercel/python"}
+	],
+	"routes":[
+		{"src":"/(.*)", "dest":"main.py"}]
+}