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  ---
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- title: GenerativeAI QA Using Lanchain
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- emoji: 🐢
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- colorFrom: purple
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- colorTo: yellow
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  sdk: gradio
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- sdk_version: 5.23.3
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  app_file: app.py
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  pinned: false
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- license: mit
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- short_description: Question Answering Q&A system using LangChain
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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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+ title: Generative AI QA System
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+ emoji: 🤖
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+ colorFrom: blue
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+ colorTo: green
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  sdk: gradio
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+ sdk_version: 4.19.2
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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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+ # Generative AI Q/A System
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+ This is a question-answering system that retrieves information from the Wikipedia page about Generative AI.
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+ ## How to Use
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+ 1. Go to the "Settings" tab and enter your OpenAI API key
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+ 2. Click "Load Wikipedia Content" to fetch and process the data
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+ 3. Go to the "Chat" tab to ask questions about Generative AI
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+
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+ ## Example Questions
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+ - "What is GenAI?"
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+ - "Early History of GenAI?"
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+ - "What are Generative neural nets?"
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+
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+ ## Technical Details
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+
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+ This application uses:
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+ - LangChain for document processing
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+ - OpenAI's GPT-3.5-turbo for answering
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+ - HuggingFace Embeddings for vector search
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+ - FAISS for similarity search
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+ - Wikipedia API for content
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+ - Gradio for the user interface
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+
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+ Created by Anjali Haryani (Modified for Hugging Face deployment)