easonlai/chat_with_pdf_streamlit_llama2
In this repository, you will discover how Streamlit, a Python framework for developing interactive data applications, can work seamlessly with the Open-Source Embedding Model ("sentence-transformers/all-MiniLM-L6-v2") in Hugging Face and Llama 2 🦙🦙 model.
This project helps you quickly find specific information within large PDF documents by allowing you to ask questions in plain English. You provide a PDF file, and the application gives you concise answers and summaries derived directly from the document. This is ideal for researchers, analysts, or anyone who frequently needs to extract key details from extensive reports or papers.
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Use this if you need to quickly get answers from a long PDF document by asking questions in natural language, without needing to manually scroll and search.
Not ideal if you need to process many documents simultaneously, require advanced document manipulation beyond semantic search, or do not have access to a relatively powerful computer.
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Sep 18, 2023
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