Switch to Docker SDK for reliable mmcv-full build

Gradio SDK pip install fails with mmcv-full. Docker gives full
control over build order: torch first, then mmcv-full pre-built
wheel, then remaining deps.

Dockerfile

@@ -0,0 +1,43 @@
+FROM python:3.10-slim
+
+# System dependencies
+RUN apt-get update && apt-get install -y \
+    libgl1-mesa-glx \
+    libglib2.0-0 \
+    gcc \
+    g++ \
+    && rm -rf /var/lib/apt/lists/*
+
+WORKDIR /app
+
+# Install PyTorch CPU first
+RUN pip install --no-cache-dir \
+    torch==1.13.1+cpu \
+    torchvision==0.14.1+cpu \
+    -f https://download.pytorch.org/whl/cpu/torch_stable.html
+
+# Install mmcv-full pre-built wheel
+RUN pip install --no-cache-dir \
+    mmcv-full==1.7.2 \
+    -f https://download.openmmlab.com/mmcv/dist/cpu/torch1.13.0/index.html
+
+# Install remaining dependencies
+RUN pip install --no-cache-dir \
+    gradio>=5.0.0 \
+    opencv-python-headless>=4.8.0 \
+    "numpy>=1.24.0,<2.0.0" \
+    easyocr>=1.7.0 \
+    scikit-image>=0.21.0 \
+    scipy>=1.9.0 \
+    bresenham \
+    terminaltables \
+    matplotlib \
+    pycocotools
+
+# Copy application code
+COPY . .
+
+# HF Spaces expects port 7860
+EXPOSE 7860
+
+CMD ["python", "api_server.py"]

README.md

@@ -3,9 +3,7 @@ title: AutoLineDigitizer API
 emoji: 📈
 colorFrom: blue
 colorTo: green
-sdk: gradio
-sdk_version: 5.20.1
-app_file: api_server.py
+sdk: docker
 pinned: false
 license: mit
 ---