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@@ -7,6 +7,29 @@ sdk: gradio
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  sdk_version: 5.29.0
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  app_file: app.py
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  ---
 
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- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  sdk_version: 5.29.0
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  app_file: app.py
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  pinned: false
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+ license: mit
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  ---
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+ <h1>📚 RAG Chatbot for PDF Files<h1>
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+ <h2>Overview</h2>
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+ This project implements a Retrieval-Augmented Generation (RAG) chatbot using Gradio and LangChain. The chatbot can:
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+ <ol>
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+ <li>Upload and process PDF files.</li>
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+ <li>Embed PDF contents as vector representations.</li>
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+ <li>Answer questions based on the embedded PDF contents.</li>
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+ </ol>
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+ <h2>Features</h2>
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+ <ul>
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+ <li>PDF Upload and Embedding: Uses OpenAI embeddings with FAISS to store vector representations.</li>
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+ <li>Conversational Interface: Uses Gradio's Chatbot component to interact with users.</li>
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+ <li>Persistent Memory: Remembers chat history during the session.</li>
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+ <li>API Integration: Utilizes OpenAI's GPT-4o-mini model for answering questions.</li>
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+ </ul>