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Streamline backend: Remove Whisper/Wav2Vec2 models and dependencies
Pranav Mishra- Removed whisper_digit_processor.py, wav2vec2_processor.py, faster_whisper_processor.py - Removed local_whisper.py and related VAD utilities - Simplified requirements_hf.txt: removed transformers, webrtcvad, CPU-specific PyTorch - Only keeping 3 core ML models: MFCC, Mel CNN, Raw CNN + External API - Reduced build size and complexity for reliable HF Spaces deploymentdf60ee3 -
Initial backend deployment - Flask API with ML models
Pranav Mishra1772a46