Upload 3 files

app3.py

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+import streamlit as st
+from langchain.prompts import PromptTemplate
+from langchain.chains import LLMChain
+from langchain_community.llms import HuggingFaceHub
+from huggingface_hub import login
+from dotenv import load_dotenv
+import os
+
+load_dotenv()
+
+# Authenticate with Hugging Face Hub
+hf_token = os.getenv("HUGGINGFACEHUB_API_TOKEN")
+login(hf_token)
+
+# Initialize LLM using HuggingFaceHub
+llm = HuggingFaceHub(
+    repo_id="caffsean/t5-base-finetuned-keyword-to-text-generation",
+    model_kwargs={
+        "temperature": 0.7,  # Adjust for creativity
+        "max_length": 512,  # Adjust for desired output length
+    }
+)
+
+# Define a function to generate responses
+def get_blog_response(keywords: str, no_words: str, blog_style: str) -> str:
+    # Define a prompt template
+    template = "Generate a blog for {blog_style} job profile based on the keywords '{keywords}' within {no_words} words."
+    prompt = PromptTemplate(
+        input_variables=["keywords", "no_words", "blog_style"],
+        template=template
+    )
+    
+    # Use LangChain LLMChain for structured interaction
+    chain = LLMChain(llm=llm, prompt=prompt)
+    response = chain.run(keywords=keywords, no_words=no_words, blog_style=blog_style)
+    return response
+
+# Streamlit UI
+st.set_page_config(
+    page_title="Blog Generation Using LangChain and Hugging Face",
+    layout="centered",
+    initial_sidebar_state="collapsed"
+)
+
+st.header("Blog Generation App :earth_americas:")
+
+st.write("This app uses LangChain and a fine-tuned T5 model for generating blogs. Please provide your inputs below:")
+
+# Input fields
+keywords = st.text_input("Enter the Blog Keywords")
+
+col1, col2 = st.columns([5, 5])
+with col1:
+    no_words = st.text_input("Number of Words")
+with col2:
+    blog_style = st.selectbox(
+        "Writing the blog for",
+        ["Researchers", "Engineers", "Doctors", "Content Creators", "Sportsman", "Businessman", "Common People"],
+        index=0
+    )
+
+submit = st.button("Generate Blog")
+
+# Generate response
+if submit:
+    if keywords and no_words.isdigit() and int(no_words) > 0:
+        try:
+            st.write("Generating blog...")
+            response = get_blog_response(keywords, no_words, blog_style)
+            st.markdown(f"### Generated Blog:\n\n{response}")
+        except Exception as e:
+            st.error(f"An error occurred: {e}")
+    else:
+        st.warning("Please provide valid inputs for all fields.")

requirements.txt

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+langchain
+streamlit
+ctransformers
+sentence-transformers
+uvicorn
+langchain_community
+transformers
+python-dotenv

style.css

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+* {
+    background-color: #edb88b;
+    padding: 0;
+}