Update Dockerfile

Dockerfile

@@ -4,19 +4,23 @@ FROM python:3.11-slim
 # 2. Set the working directory
 WORKDIR /app
 
-# 3. Install dependencies (Pre-downloading the NEW model we discussed)
-RUN pip install --no-cache-dir fastapi uvicorn transformers pillow pydantic requests torch torchvision --index-url https://download.pytorch.org/whl/cpu
+# 3. Install PyTorch (CPU version) FIRST from its custom index
+RUN pip install --no-cache-dir torch torchvision --index-url https://download.pytorch.org/whl/cpu
+
+# 4. Install API dependencies SECOND from the normal Python index
+RUN pip install --no-cache-dir fastapi uvicorn transformers pillow pydantic requests
+
+# 5. Pre-download the NEW SigLIP deepfake model
 RUN python -c "from transformers import pipeline; pipeline('image-classification', model='prithivMLmods/deepfake-detector-model-v1')"
 
-# 4. Copy your app.py specifically into the current WORKDIR (/app)
-# This ensures uvicorn can find the "app" module
+# 6. Copy your app.py specifically into the current WORKDIR (/app)
 COPY app.py /app/app.py
 
-# 5. Set environment variable to make sure Python finds the /app folder
+# 7. Set environment variable to make sure Python finds the /app folder
 ENV PYTHONPATH=/app
 
-# 6. Expose port
+# 8. Expose port
 EXPOSE 7860
 
-# 7. Start the node - using the full path to be safe
+# 9. Start the node
 CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]