{"id":19513955,"url":"https://github.com/easonlai/chat_with_pdf_streamlit","last_synced_at":"2025-04-26T05:32:15.072Z","repository":{"id":190430229,"uuid":"682610484","full_name":"easonlai/chat_with_pdf_streamlit","owner":"easonlai","description":"In this repository, you will discover how Streamlit, can work seamlessly with Azure OpenAI Service's Embedding and GPT 3.5 models. 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These tools make it possible to create a user-friendly web application that enables users to ask questions in natural language about a PDF file they have uploaded. It is a simple yet effective solution that allows users to retrieve valuable information from the document by semantic searching.\n\n* [app.py](https://github.com/easonlai/chat_with_pdf_streamlit/blob/main/app.py) \u003c-- Sample using FAISS (Facebook AI Similarity Search) as a Vector Database to store the embedding vectors and perform similar searches.\n\n**Architecture**\n![alt text](https://github.com/easonlai/chat_with_pdf_streamlit/blob/main/git-images/git-image-1.png)\n\n**To run this Streamlit web app**\n```\nstreamlit run app.py\n```\n\nEnjoy!\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Feasonlai%2Fchat_with_pdf_streamlit","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Feasonlai%2Fchat_with_pdf_streamlit","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Feasonlai%2Fchat_with_pdf_streamlit/lists"}