hf space config commented
Browse files- .github/workflows/main.yml +1 -1
- README.md +18 -15
.github/workflows/main.yml
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- name: Push to hub
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env:
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HF_TOKEN1: ${{ secrets.HF_TOKEN1 }}
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run: git push --force https://AkashVD26:[email protected]/spaces/AkashVD26/pdfsense main
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- name: Push to hub
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env:
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HF_TOKEN1: ${{ secrets.HF_TOKEN1 }}
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run: git push --force https://AkashVD26:[email protected]/spaces/AkashVD26/pdfsense main
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README.md
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# π PDFSense : PDF Question Answering Assistant with Chat History
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PDFSense is an LLM-powered Streamlit application that enables users to upload PDFs and ask questions based on the document's content. It uses a Retrieval-Augmented Generation (RAG) approach to provide accurate, context-aware answers by incorporating previous chat history of the current session.
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- [Hugging Face](https://huggingface.co)
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- [FAISS](https://ai.meta.com/tools/faiss/)
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- [Groq](https://groq.com)
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- [streamlit](https://www.langchain.com)
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## Configuration for HF Space
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---
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title: Pdfsense
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emoji: π
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colorFrom: red
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colorTo: red
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sdk: streamlit
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sdk_version: 1.40.2
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app_file: app.py
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pinned: false
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license: apache-2.0
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short_description: PDF Answering Assistant
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---
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<!--
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---
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title: Pdfsense
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emoji: π
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colorFrom: red
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colorTo: red
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sdk: streamlit
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sdk_version: 1.40.2
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app_file: app.py
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pinned: false
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license: apache-2.0
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short_description: PDF Answering Assistant
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---
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Check out the configuration reference at [Hugging Face Spaces Config](https://huggingface.co/docs/hub/spaces-config-reference).
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-->
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# π PDFSense : PDF Question Answering Assistant with Chat History
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PDFSense is an LLM-powered Streamlit application that enables users to upload PDFs and ask questions based on the document's content. It uses a Retrieval-Augmented Generation (RAG) approach to provide accurate, context-aware answers by incorporating previous chat history of the current session.
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- [Hugging Face](https://huggingface.co)
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- [FAISS](https://ai.meta.com/tools/faiss/)
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- [Groq](https://groq.com)
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- [streamlit](https://www.langchain.com)
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