README.md

metadata

license: mit
datasets:
  - ParlAI/blended_skill_talk
  - convai-challenge/conv_ai_2
  - allenai/social_i_qa
language:
  - en
  - ru
metrics:
  - accuracy
  - precision
  - recall
  - perplexity
  - bleu
  - rouge
base_model:
  - SkillForge45/CyberFuture-1
new_version: SkillForge45/CyberFuture-2
pipeline_tag: text-generation
library_name: transformers
tags:
  - legal

CyberFuture - Chat With AI

Uptades: -Web Search

Installation

1. Clone the model:

git clone https://huggingface.co/SkillForge45/CyberFuture-3

2. Install all requirements:

pip install torch transformers datasets googlesearch-python pyttsx3 speechrecognition fastapi uvicorn

Usage

METHOD #1 (HTML web interface):

1. Launch the server:

python app.py

2. Start the HTML file (html_main.html) METHOD #2 (Python Uasge) Use this Python code:

from model import ChatBot

# Initialize the chatbot
bot = ChatBot()

# Optionally train the model (requires GPU for good performance)
bot.train(epochs=3)

# Chat with web search
response = bot.generate_response("What's the latest news about AI?", use_web=True)
print(response)

# Voice interaction (requires microphone)
bot.voice_interface.speak(response)
user_input = bot.voice_interface.listen()

METHOD #3 (Console)

1. Text Chat:

curl -X POST "http://localhost:8000/chat/" \
-H "Content-Type: application/x-www-form-urlencoded" \
-d "prompt=What's the weather in London today?&use_web=true" #web search, if you not need web: use_web=False

2. Voice Chat:

curl -X POST "http://localhost:8000/chat/" \
-F "audio_file=@your_recording.wav" \
-F "use_web=true" \
-F "use_voice=true"

METHOD 4 (Server) Start the app.py and go to http://localhost:8000/chat

License

This model is licensed, see the LICENSE for more information