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groq # Core ML and AI torch==2.0.1 transformers==4.40.1 trl==0.8.6 accelerate==0.24.1 peft==0.10.0 datasets protobuf<4 click<8.1 pydantic>=2.4.0 datasets huggingface-hub>=0.19 sentencepiece # Optional: 8-bit quantization (uncomment if needed) # bitsandbytes==0.41.1 # Document Parsing & OCR unstructured # Optional: add specific extras like [pdf] or [local-inference] depending on your platform # unstructured[pdf] pytesseract pdfminer.six # Vector DB & Search faiss-cpu>=1.7.4 llama-index==0.9.48 llama-index-vector-stores-faiss==0.2.0 llama-index-embeddings-huggingface==0.3.0 # Document Formats PyPDF2>=3.0.1 python-docx>=0.8.11 openpyxl>=3.1.2 # Web Interface gradio>=4.13.0 fastapi>=0.104.0 uvicorn>=0.24.0 # Data & Utilities numpy>=1.24.0 pandas>=2.0.0 scipy>=1.11.0 requests>=2.31.0 tqdm>=4.66.0 python-dotenv>=1.0.0 pydantic>=2.4.0 # Async & Performance asyncio-throttle>=1.0.2 aiofiles>=23.2.1 # Logging loguru>=0.7.2 # Optional: ONNX & quantization (uncomment if needed) # onnxruntime>=1.16.0 # optimum>=1.14.0 # auto-gptq>=0.4.2 # autoawq>=0.1.6 |