Flask LangChain Chatbot

A web-based AI chatbot application built with Flask and the LangChain framework. This application provides a conversational interface where users can interact with an AI assistant through a clean and responsive web interface.

Features

• Interactive chat interface
• Support for multiple language models
• Customizable chatbot behavior
• API endpoints for integration with other applications
• Session management for multiple users
• Markdown rendering in responses

Demo

Table of Contents

• Installation
• Configuration
• Usage
• Project Structure
• API Documentation
• Development
• Deployment
• Contributing
• License

Installation

Prerequisites

• Python 3.8 or higher
• pip (Python package installer)
• API key for your chosen language model (OpenAI, Anthropic, etc.)

Setup

1. Clone the repository:

   git clone https://github.com/yourusername/flask-langchain-chatbot.git
   cd flask-langchain-chatbot

2. Create and activate a virtual environment:

   python -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install dependencies:

   pip install -r requirements.txt

Configuration

The application can be configured through the .env file:

# API Keys
LLM_API_KEY=your_api_key_here
LLM_PROVIDER=openai  # Options: openai, anthropic, etc.

Usage

1. Start the application:

   python app.py

   Or for development mode:

   flask run --debug

2. Start chatting with the AI assistant through the web interface

Contributing

1. Fork the repository
2. Create a feature branch: git checkout -b feature-name
3. Commit your changes: git commit -m 'Add some feature'
4. Push to the branch: git push origin feature-name
5. Submit a pull request

License

This project is licensed under the MIT License - see the LICENSE file for details.