https://github.com/kaifcoder/gemini_multipdf_chat
Gemini PDF Chatbot: A Streamlit-based application powered by the Gemini conversational AI model. Upload multiple PDF files, extract text, and engage in natural language conversations to receive detailed responses based on the document context. Enhance your interaction with PDF documents using this intuitive and intelligent chatbot.
https://github.com/kaifcoder/gemini_multipdf_chat
gemini-api gemini-pro langchain llms rag
Last synced: 6 months ago
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Gemini PDF Chatbot: A Streamlit-based application powered by the Gemini conversational AI model. Upload multiple PDF files, extract text, and engage in natural language conversations to receive detailed responses based on the document context. Enhance your interaction with PDF documents using this intuitive and intelligent chatbot.
- Host: GitHub
- URL: https://github.com/kaifcoder/gemini_multipdf_chat
- Owner: kaifcoder
- Created: 2024-01-09T11:17:01.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-12-11T10:14:11.000Z (10 months ago)
- Last Synced: 2024-12-11T11:23:54.235Z (10 months ago)
- Topics: gemini-api, gemini-pro, langchain, llms, rag
- Language: Python
- Homepage: https://gmultichat.streamlit.app/
- Size: 11.7 KB
- Stars: 168
- Watchers: 3
- Forks: 122
- Open Issues: 5
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Metadata Files:
- Readme: README.Docker.md
- Funding: .github/FUNDING.yml
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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 .
### 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/)