- 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 ? (newbies may be more confused and discouraged to use it)
feel free to improve the code / suggest improvements
To get started with this project, you'll need to clone the repository and set up a virtual environment. This will allow you to install the required dependencies without affecting your system-wide Python installation.
Before you can set up a virtual environment, you'll need to have Python installed on your system. You can download Python from the official website: https://www.python.org/downloads/
Run the following command to clone the repository:
git clone https://github.com/suparious/gpt-for-business.git
To set up a virtual environment, follow these steps:
-
Navigate to the root directory of your project.
cd gpt-for-business
-
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> |
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 GPT for Business is by using docker
docker build -t gpt-for-business .
Launch the image using Compose
docker-compose up
Creating new release tags:
git tag v0.1.1 -f
git push --tags -f