working again ; ) I am very busy at the moment so I would be very thankful for contributions and PR's

To do

• 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)

ChatGPT Clone

feel free to improve the code / suggest improvements

Getting Started

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.

Prequisites

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/

Cloning the Repository

Run the following command to clone the repository:

git clone https://github.com/xtekky/chatgpt-clone.git

Setting up a Virtual Environment

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

Configure the Application

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_key	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 )

Running the Application

To run the application, make sure the virtual environment is active and run the following command:

python run.py

Docker

The easiest way to run ChatGPT Clone is by using docker

docker-compose up

Kubernetes

1. Run kubectl apply -f kubernetes/. It will create a deployment and ClusterIP Ingress in the namespace "chatgpt-clone"
2. Create a secret containing your OPENAI-API-TOKEN with: kubectl create secret generic openai-api-key --from-literal=openai-api-key=[YOUR_OPENAI_TOKEN] -n chatgpt-clone
3. Either change the service to load balancer or ingress (don't forget to password protect it!!), or port-forward it to your local machine: kubectl port-forward deployment/chatgpt-clone 1338:1338 -n chatgpt-clone

Kubernetes: (optional) Hosting at a domain (ingress)

If you want to host the app at a domain follow these steps:

1. Install - if you haven't already - the nginx ingress

helm upgrade --install ingress-nginx ingress-nginx/ingress-nginx
--namespace ingress-nginx
--create-namespace

2. Create a basic auth secret which will password protect the app
   • htpasswd -c auth user (you might need apt-get install apache2-utils)
   • Enter your password
   • This creates a file "auth"
3. "Submit" the password as secret to Kubernetes with:
   • kubectl create secret generic basic-auth --from-file=auth -n chatgpt-clone
4. Insert your domain in the "kubernetes/nginxingress/chatgpt-clone-ingress.yaml" file.
5. Point your matching domain to your K8s IP
6. kubectl apply -f kubernetes/nginxingress/