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--- |
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title: AI Chatbot File Web Image Audio |
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emoji: 🤖 |
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colorFrom: indigo |
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colorTo: pink |
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sdk: gradio |
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sdk_version: 5.34.2 |
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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: AI Chatbot using RAG from Files, URLs, Images & Audio |
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--- |
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# 🧠 AI Chatbot with File, Web, Image & Audio Support (Gradio + Groq) |
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A multimodal AI assistant powered by Groq's LLaMA 3 that can answer questions using: |
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- 📄 Uploaded documents (`.txt`, `.pdf`, `.docx`, `.csv`) |
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- 🌐 Any public website URL (RAG retrieval) |
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- 🖼️ Images via OCR (Tesseract) |
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- 🎧 Audio files via transcription (Whisper) |
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--- |
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## 🚀 Features |
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- Chat with files (PDF, DOCX, TXT, CSV) |
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- Question answering from website content |
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- OCR-based text extraction from images |
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- Speech-to-text from audio recordings |
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- Maintains separate history for File & URL chat sessions |
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--- |
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## 🛠️ Tech Stack |
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- [Gradio](https://gradio.app) — User Interface |
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- [FastAPI](https://fastapi.tiangolo.com/) — API Backend |
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- [Groq API](https://groq.com/) — LLaMA 3 inference |
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- [Tesseract OCR](https://github.com/tesseract-ocr) — Image text extraction |
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- [Whisper](https://github.com/openai/whisper) — Audio transcription |
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--- |
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## 📦 How to Run Locally |
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```bash |
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git clone https://github.com/your-username/your-repo.git |
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cd your-repo |
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# Install dependencies |
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pip install -r requirements.txt |
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# Start FastAPI backend |
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uvicorn main:app --reload |
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# Run Gradio frontend |
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python app.py |
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