Build the ChatGPT image yourself and deploy it in a Docker container.
Here is a simple ChatGPT image build example:
- Preparation
Before starting to build the ChatGPT mirror, we need to complete the following preparations:
- Install Docker
- Download the pretrained GPT model
- Build a Docker image
After completing the preparations, we can start to build the ChatGPT mirror. Here is an example of a simple Dockerfile:
FROM python:3.9-slim-buster RUN apt-get update && \ apt-get install -y git && \ git clone https://github.com/huggingface/transformers.git && \ cd transformers && \ git checkout v4.12.0 && \ pip install -e . && \ cd .. && \ rm -rf transformers RUN pip install torch==1.9.0+cpu RUN pip install flask COPY models /app/models COPY app.py /app/app.py WORKDIR /app CMD ["python", "app.py"]
This Dockerfile uses the slim-buster image of Python 3.9 as the base image and installs the Git, Transformers, PyTorch and Flask libraries in it. It also copies the pre-trained GPT model and application code into a Docker container, and sets the application code as the container's start command.
- build image
After writing the Dockerfile, we can use the following command to build the Docker image:
docker build -t chatgpt:latest .
This command will build a Docker image named chatgpt in the current directory.
- run container
After building the Docker image, we can start the ChatGPT application inside the Docker container with the following command:
docker run -p 5000:5000 -v /path/to/models:/app/models chatgpt:latest
This command will start the ChatGPT application in a Docker container and map port 5000 of the container to port 5000 of the host. It also mounts the model folder on the host into the container so applications can access the pretrained GPT model.
- test application
After starting the Docker container, we can test the ChatGPT application with the following command:
curl -X POST -H "Content-Type: application/json" -d '{"prompt": "Hello"}' http://localhost:5000/chat
This command will send an HTTP POST request to the ChatGPT application with the text entered by the user. The application will generate a reply based on the text entered by the user, and return it as a JSON object.
In conclusion, ChatGPT application can be easily deployed using Docker images and run in different environments.