Spaces:
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Sleeping
| title: RAG Chat Bot | |
| emoji: 🌖 | |
| colorFrom: pink | |
| colorTo: purple | |
| sdk: streamlit | |
| sdk_version: 1.38.0 | |
| app_file: app.py | |
| pinned: false | |
| # PDF Question Answering with vi-gemma-2b-RAG | |
| This Streamlit app uses the vi-gemma-2b-RAG model from Hugging Face to answer questions based on the content of uploaded PDF files. | |
| ## How to Use | |
| 1. Upload a PDF file. | |
| 2. Enter a question related to the content of the PDF. | |
| 3. Get an answer generated by the model. | |
| ## Requirements | |
| - `transformers` | |
| - `torch` | |
| - `accelerate` | |
| - `PyMuPDF` | |
| - `streamlit` | |
| Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference | |