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title: FastGPT
emoji: 💬
colorFrom: yellow
colorTo: purple
sdk: docker
app_file: main.py
pinned: false

FastGPT: A Lightweight ChatGPT Implementation Using FastHTML

FastGPT is a minimalistic ChatGPT implementation built using FastHTML, designed to be fast and lightweight, while providing a seamless experience for users. It connects to the GPT-4o model and supports session-based memory to allow for back-and-forth interactions.

We aim to progressively and iteratively add features to better align with the current state of ChatGPT. This project is open-source, so feel free to contribute by submitting a pull request or forking the repo and building upon it yourself!

Created by Jack Tol
https://jacktol.net
https://conversationai.io

Video Demo

Watch the demo of FastGPT on YouTube:

FastGPT Demo

Features

  • GPT-4o Model Integration: Connects to the latest version of OpenAI's GPT-4o model for advanced text-based interactions.
  • Session-Based Memory: Keeps track of the current conversation, allowing for coherent back-and-forth dialogue.
  • Session Management: Refreshing the page or pressing the "New Chat" button will terminate the current session and initiate a fresh one.
  • Automatic Markdown Parsing: Both the home page and model responses support Markdown, allowing for easy formatting and enhanced readability.
  • Dynamic Input Box: The chat input dynamically grows for better visibility when entering long messages.
  • Lightweight Design: Built without front-end frameworks, leveraging vanilla CSS for a lightweight, fast user experience.
  • Token-by-Token Streaming: Responses from the model stream onto the screen in real-time, providing instant feedback.
  • Interaction Management: Users cannot send a message while the model is still generating a response, ensuring a smooth interaction.
  • "New Chat" Button: Easily initiate a new session with a simple button click.

Usage Instructions

  1. Clone the Repo

    git clone https://github.com/jack-tol/fastgpt.git

  2. Set your OpenAI API Key
    Ensure your OPENAI_API_KEY environment variable is set to your OpenAI API Key.

    export OPENAI_API_KEY=your-openai-api-key-here

  3. Install Dependencies
    Navigate into the cloned directory and install the required dependencies.

    pip install -r requirements.txt

  4. Run the Application
    Open up your terminal, cd into the directory where the main.py file is located, and run the following command:

    uvicorn main:app --port 8080 --reload

  5. Start Chatting
    Open your browser and navigate to http://localhost:8080 to start your local ChatGPT experience!

Contributing

Feel free to contribute to FastGPT by submitting a pull request or creating a fork of the repository. As the project evolves, more features will be added to better align with the capabilities of the ChatGPT platform. Help us make FastGPT even better!