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README.md
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sdk: docker
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license: mit
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short_description: IT A AI CHATBOT WHICH IS VERY INTERACTIVE
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title: Juno AI - Advanced AI Assistant
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emoji: π€
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license: mit
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# Juno AI - Advanced AI Assistant
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π€ **Juno AI** is an advanced conversational AI assistant with document processing, web scraping, memory management, and RAG (Retrieval Augmented Generation) capabilities.
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## Features
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- π§ **Intelligent Conversation**: Natural conversation with memory retention
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- π **Document Processing**: Upload and analyze PDF documents with OCR support
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- π **Web Scraping**: Extract and analyze content from web URLs
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- π **Memory Management**: Remembers context across conversations
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- π **RAG Search**: Smart retrieval from uploaded documents
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- π― **Multi-Modal Support**: Text, voice input, and document analysis
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- π **Dark/Light Theme**: Customizable interface
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- πΎ **Conversation History**: Save and load previous conversations
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## Technology Stack
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- **Backend**: Flask with Python
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- **AI Model**: Google Gemini 1.5 Flash
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- **Vector Store**: ChromaDB with HuggingFace embeddings
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- **Document Processing**: PyPDF2 with OCR fallback
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- **Web Scraping**: BeautifulSoup4
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- **Frontend**: Vanilla JavaScript with modern CSS
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## How to Use
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1. Start a conversation by typing your message
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2. Upload PDF documents for analysis and Q&A
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3. Use web scraping to analyze online content
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4. Access conversation history and memory
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5. Switch between light and dark themes
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## Environment Variables Required
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- `GEMINI_API_KEY`: Your Google Gemini API key
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## Local Development
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1. Install dependencies: `pip install -r requirements.txt`
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2. Set up environment variables
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3. Run: `python app.py`
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Built with β€οΈ using Flask and Google Gemini AI
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