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• 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/xtekky/chatgpt-clone.git

To set up a virtual environment, follow these steps:

1. Navigate to the root directory of your project.

cd chatgpt-clone

2. Run the following command to create a new virtual environment:

python -m venv venv

3. 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

4. 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.

Use the Base URL if you need to run your queries through a reverse proxy (likethis 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