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Docker Integration for the Project #125
Changes Made
Dockerfile Creation: Introduced a Dockerfile to containerize the project. This makes it easier for contributors and users to set up the project without worrying about dependencies.
Flask App Updates: Updated the Flask app to bind to
0.0.0.0
allowing it to be accessed outside of the container. Additionally, modified the port configuration using argparse for flexibility.Building the Docker Container
Before running the application, you'll need to build the Docker container. To do this, navigate to the directory containing the Dockerfile and run:
docker build -t chatdev:latest .
This command will build a Docker image using the provided Dockerfile and tag it as
chatdev:latest
.How to Run the Docker Container
To run the containerized application, use the following command:
Replace
your_openai_api_key
with your actual OpenAI API key.Once you have it running you can run the project as if it were your local system
Copying Files out of Docker
If you wish to copy files out of the Docker container and into the host machine, you can use the
docker cp
command. This can be handy, especially when chatdev finishes and you wish to upload the generated files into the webapp to be reviewed.Docker Image Pull Command
To pull the current Docker image (under my personal account), use:
Suggestion for Project Maintainers
It would be beneficial to set up a Docker account specific to this project. This way, the Docker image can reside under a more general name rather than an individual's account. I would be happy to assist in pushing the image to such an account once it's set up.
Additional Notes
The webserver in
online_log/app.py
will still be accessible on your local machine as we have exposed the http port on docker for this purpose.Thank you for considering this integration. Looking forward to feedback!