- Double confirm when deleting conversation
- remember user preferences
- theme changer
- loading / exporting a conversation
- speech output and input (elevenlabs; ex: https://github.com/cogentapps/chat-with-gpt)
- load files, ex: https://github.com/mayooear/gpt4-pdf-chatbot-langchain
- better documentation
- use react / faster backend language ?
Run the following command to clone the repository:
git clone https://github.com/The-Pact/JWACS-AI.git
To set up a virtual environment, follow these steps:
- Navigate to the root directory of your project.
cd chatgpt-clone
- Run the following command to create a new virtual environment:
python -m venv venv
- Activate the virtual environment by running the following command:
source venv/bin/activate
If you are using fish shell, the command will be slightly different:
source venv/bin/activate.fish
If you're on Windows, the command will be slightly different:
venv\Scripts\activate
- Install the required dependencies by running the following command:
pip install -r requirements.txt
To configure the application, there are a few properties that can be set either via the environment or via config.json. The environment variable takes priority.
| Field | Env Variable | config.json | examples |
|---|---|---|---|
| The OpenAI Api Key | OPENAI_API_KEY | openai_key | sk-... |
| The OpenAI Base URL | OPENAI_API_BASE | openai_api_base | https://api.openai.com http://my-reverse-proxy/ |
Use the Base URL if you need to run your queries through a reverse proxy (like this one which will run your queries through Azure's OpenAI endpoints )
To run the application, make sure the virtual environment is active and run the following command:
python run.py
The easiest way to run ChatGPT Clone is by using docker
docker-compose up