Fix: Add CPU torchvision to prevent pyannote from downloading GPU torch and hitting disk limits

Dockerfile

@@ -23,7 +23,7 @@ RUN pip install --no-cache-dir --upgrade pip && \
     pip install --no-cache-dir fastapi "uvicorn[standard]" python-multipart python-dotenv pydantic "pydantic-settings" motor "passlib[bcrypt]" PyJWT google-generativeai
 
 # Step 2: PyTorch CPU-only (large but isolated for caching)
-RUN pip install --no-cache-dir torch torchaudio --index-url https://download.pytorch.org/whl/cpu
+RUN pip install --no-cache-dir torch torchaudio torchvision --index-url https://download.pytorch.org/whl/cpu
 
 # Step 3: ML/AI packages
 RUN pip install --no-cache-dir transformers accelerate "sentence-transformers" scikit-learn numpy scipy
@@ -32,7 +32,7 @@ RUN pip install --no-cache-dir transformers accelerate "sentence-transformers" s
 RUN pip install --no-cache-dir Pillow piexif opencv-python-headless "soundfile>=0.12.0" "librosa>=0.10.0" "resampy>=0.4.2"
 
 # Step 5: Heavy optional packages
-RUN pip install --no-cache-dir "pyannote.audio>=3.1.0" "protobuf~=4.25.3" python-magic
+RUN pip install --no-cache-dir "pyannote.audio>=3.1.0" "protobuf~=4.25.3" python-magic c2pa-python
 
 COPY . .