Manually install Torch CPU in Dockerfile to bypass pip resolution issues

Dockerfile

@@ -2,10 +2,11 @@ FROM python:3.10
 
 WORKDIR /app
 
-# The full python:3.10 image usually has all required system libraries for OpenCV.
-# We also update and install ffmpeg and libgl1 just to be absolutely sure.
 RUN apt-get update && apt-get install -y ffmpeg libgl1 libglib2.0-0 && rm -rf /var/lib/apt/lists/*
 
+# Force install PyTorch CPU wheels explicitly before other requirements
+RUN pip install --no-cache-dir torch torchvision --index-url https://download.pytorch.org/whl/cpu
+
 COPY requirements.txt .
 
 RUN pip install --no-cache-dir -r requirements.txt

requirements.txt

@@ -1,10 +1,7 @@
---extra-index-url https://download.pytorch.org/whl/cpu
 fastapi
 uvicorn
 python-multipart
 Pillow
-torch
-torchvision
 transformers
 opencv-python-headless
 gfpgan