GPTClone

GPTClone is a FastAPI-based chat application that uses langchain for conversation memory and OpenAI's language models to provide intelligent responses.

Features

• FastAPI backend for efficient API handling
• Langchain integration for improved conversation memory
• OpenAI's GPT model for generating responses
• In-memory chat history storage
• Markdown formatting for better response presentation

Prerequisites

• Python 3.7+
• OpenAI API key

Installation

1. Clone the repository:

   git clone https://github.com/marketcalls/gptclone.git
   cd gptclone
   

2. Create a virtual environment and activate it:

   python -m venv venv
   source venv/bin/activate  # On Windows, use `venv\Scripts\activate`
   

3. Install the required packages:

   pip install -r requirements.txt
   

4. Create a .env file in the project root:

   cp .sample.env .env
   

   Then, edit the .env file and replace the placeholder values with your actual OpenAI API key and desired model:

   OPENAI_API_KEY=your_api_key_here
   OPENAI_MODEL=gpt-4o-mini
   

Usage

1. Start the FastAPI server:

   uvicorn app.main:app --reload
   

2. Open a web browser and navigate to http://localhost:8000 to use the chat interface.

Project Structure

• app/: Contains the main application code
  • main.py: FastAPI application and route definitions
  • models.py: Database models
  • schemas.py: Pydantic schemas for request/response validation
  • database.py: Database connection and session management
• static/: Static files (CSS, JavaScript)
• templates/: HTML templates
• requirements.txt: List of Python dependencies
• .sample.env: Sample environment file with placeholder values
• .env: (Created by you) Actual environment file with your API key and model name

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

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