Fix HF Spaces deployment: use Docker SDK, pin huggingface_hub, pre-download models

- Changed sdk from streamlit to docker in README.md
- Pinned huggingface_hub<1.0.0 to fix use_auth_token compatibility with SpeechBrain
- Removed streamlit-webrtc (not supported in HF Spaces)
- Updated Dockerfile: pre-download SpeechBrain models, non-root user, headless mode

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

Dockerfile

@@ -15,18 +15,35 @@ COPY requirements.txt .
 # Install Python dependencies
 RUN pip install --no-cache-dir -r requirements.txt
 
-# Copy application code - cache bust v4 upload only
+# Copy application code
 COPY . .
 
-# Create necessary directories
+# Create necessary directories with proper permissions
 RUN mkdir -p data/db data/clips pretrained_models
 
-# Expose Streamlit port (HF Spaces uses 7860)
+# Pre-download SpeechBrain models during build
+RUN python -c "\
+from speechbrain.inference.VAD import VAD; \
+VAD.from_hparams(source='speechbrain/vad-crdnn-libriparty', savedir='pretrained_models/vad'); \
+print('VAD model downloaded')"
+
+RUN python -c "\
+from speechbrain.inference.speaker import SpeakerRecognition; \
+SpeakerRecognition.from_hparams(source='speechbrain/spkrec-ecapa-voxceleb', savedir='pretrained_models/spkrec'); \
+print('Speaker Recognition model downloaded')"
+
+# HF Spaces runs as user 1000 - set permissions
+RUN useradd -m -u 1000 user
+RUN chown -R user:user /app
+USER user
+
+# Expose port (HF Spaces uses 7860)
 EXPOSE 7860
 
 # Set environment variables
 ENV STREAMLIT_SERVER_PORT=7860
 ENV STREAMLIT_SERVER_ADDRESS=0.0.0.0
+ENV HOME=/home/user
 
 # Run Streamlit
-CMD ["streamlit", "run", "app.py", "--server.port=7860", "--server.address=0.0.0.0"]
+CMD ["streamlit", "run", "app.py", "--server.port=7860", "--server.address=0.0.0.0", "--server.headless=true"]

README.md

@@ -3,10 +3,7 @@ title: SOP Audio Analyzer
 emoji: 🎙️
 colorFrom: blue
 colorTo: red
-sdk: streamlit
-sdk_version: 1.29.0
-python_version: "3.11"
-app_file: app.py
+sdk: docker
 pinned: false
 ---
 

requirements.txt

@@ -1,8 +1,11 @@
-# Core ML - compatible with Python 3.11 (for HF Spaces)
+# Core ML - compatible with Python 3.11
 torch==2.5.1
 torchaudio==2.5.1
 speechbrain>=1.0.0
 
+# HuggingFace - pinned for SpeechBrain compatibility
+huggingface_hub<1.0.0
+
 # Audio processing
 librosa>=0.10.0
 soundfile>=0.12.1
@@ -21,7 +24,6 @@ sqlalchemy>=2.0.0
 
 # UI
 streamlit>=1.29.0
-streamlit-webrtc>=0.47.0
 plotly>=5.18.0
 
 # Utilities