Update Dockerfile

Dockerfile

@@ -1,9 +1,9 @@
-# Start with a clean slate
+# Start with a clean Python 3.9 Image
 FROM python:3.9-slim
 
 WORKDIR /app
 
-# 1. Install System Deps
+# 1. Install System Dependencies
 RUN apt-get update && apt-get install -y \
     libgl1 \
     libglib2.0-0 \
@@ -11,23 +11,30 @@ RUN apt-get update && apt-get install -y \
     git \
     && rm -rf /var/lib/apt/lists/*
 
-# 2. Upgrade Pip & Setuptools (Crucial for avoiding build errors)
-RUN pip install --no-cache-dir --upgrade pip setuptools==69.5.1 wheel
-
-# 3. Install PaddlePaddle FIRST (The Heavyweight)
-# Installing this alone ensures it gets full resources without conflict
-RUN pip install --no-cache-dir paddlepaddle==2.6.1 -i https://mirror.baidu.com/pypi/simple
-
-# 4. Install PaddleOCR & Deps
-# We fix the version to 2.7.3 which is known stable with Paddle 2.6.1
-RUN pip install --no-cache-dir "paddleocr>=2.7.0" numpy==1.26.4 opencv-python-headless pillow fastapi uvicorn python-multipart
-
-# 5. Pre-download Models (Cache them in the image)
-# use_angle_cls=False avoids the classifier model download/loading
+# 2. Upgrade Pip to handle large downloads better
+RUN pip install --no-cache-dir --upgrade pip setuptools wheel
+
+# 3. Install PaddlePaddle (CPU) 
+# We use standard PyPI with a long timeout to prevent connection drops
+RUN pip install --no-cache-dir paddlepaddle==2.6.1 --default-timeout=100
+
+# 4. Install PaddleOCR & API Dependencies
+# Pinned versions to ensure 100% compatibility
+RUN pip install --no-cache-dir \
+    "paddleocr==2.7.3" \
+    "numpy<2.0.0" \
+    opencv-python-headless \
+    pillow \
+    fastapi \
+    uvicorn \
+    python-multipart
+
+# 5. Pre-download the AI Models (Cache them inside the image)
+# use_angle_cls=False avoids downloading the classifier model
 RUN python -c "from paddleocr import PaddleOCR; PaddleOCR(lang='en', use_angle_cls=False)"
 
-# 6. Copy App Code
+# 6. Copy Application Code
 COPY main.py .
 
-# 7. Start
+# 7. Start the API
 CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]