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Fix: Import spaces before gradio/torch to prevent CUDA initialization error
The ZeroGPU spaces package must be imported before any CUDA-related packages. Moving spaces import to the top fixes RuntimeError on startup.db6196b
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Fix: pin transformers>=4.56.1 and torch>=2.7.0 as required by surya-ocr
Based on surya-ocr pyproject.toml dependencies: - transformers>=4.56.1 (fixes find_pruneable_heads_and_indices import error) - torch>=2.7.0ad7e5e4
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Fix transformers compatibility: let surya-ocr manage dependencies
Remove explicit torch requirement to let surya-ocr pull compatible versionsa443d05 -
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Fix: use python_version config instead of Docker
- Revert to sdk: gradio with python_version: 3.10 - Remove Dockerfile (not needed) - Python 3.10 has built-in audioop module (no pyaudioop needed)3f06457 -
Switch to Docker SDK with Python 3.12 for compatibility
- Create custom Dockerfile with Python 3.12 - Remove pyaudioop (not needed with Python 3.12) - Update README.md to use sdk: docker - Python 3.13 has incompatible dependencies (audioop removed)2d01539 -
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Fix Python 3.13 compatibility: add pyaudioop
The audioop module was removed in Python 3.13. pyaudioop is the replacement package that pydub (Gradio dependency) needs.29dbbf2 -
Complete Surya OCR Studio implementation with all features
Features: - OCR: Text recognition in 90+ languages with RecognitionPredictor - Text Detection: Line-level detection with DetectionPredictor - Layout Analysis: Identify document structure with LayoutPredictor - Table Recognition: Extract tables to Markdown with TableRecPredictor - LaTeX OCR: Convert equations to LaTeX with TexifyPredictor Technical: - Uses new Surya API (FoundationPredictor pattern) - ZeroGPU support with @spaces.GPU decorators - Lazy model loading for faster startup - Modern dark UI with gradient theme - Comprehensive error handling - Performance optimizations for batch sizesa2feb75
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