https://github.com/triplevi/green-chatbot
An AI-powered chatbot integrated into a graduation showcase website to enhance search and question answering capabilities
https://github.com/triplevi/green-chatbot
flask gemini langchain python rag-chatbot
Last synced: about 2 months ago
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An AI-powered chatbot integrated into a graduation showcase website to enhance search and question answering capabilities
- Host: GitHub
- URL: https://github.com/triplevi/green-chatbot
- Owner: TripleVi
- Created: 2024-11-03T18:43:02.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-09-11T21:11:24.000Z (10 months ago)
- Last Synced: 2025-09-21T05:33:11.973Z (9 months ago)
- Topics: flask, gemini, langchain, python, rag-chatbot
- Language: Python
- Homepage:
- Size: 104 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.Docker.md
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README
### Building and running your application
When you're ready, start your application by running:
`docker compose up --build`.
Your application will be available at http://localhost:5000.
### Deploying your application to the cloud
First, build your image, e.g.: `docker build -t myapp .`.
If your cloud uses a different CPU architecture than your development
machine (e.g., you are on a Mac M1 and your cloud provider is amd64),
you'll want to build the image for that platform, e.g.:
`docker build --platform=linux/amd64 -t myapp .`.
Then, push it to your registry, e.g. `docker push myregistry.com/myapp`.
Consult Docker's [getting started](https://docs.docker.com/go/get-started-sharing/)
docs for more detail on building and pushing.
### References
* [Docker's Python guide](https://docs.docker.com/language/python/)