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  1. Dockerfile +9 -9
Dockerfile CHANGED
@@ -1,12 +1,10 @@
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  # 1. Base Image: Use a stable, slim Python image
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  FROM python:3.10-slim
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- # Set the environment variable for Python (prevents output buffering issues)
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  ENV PYTHONUNBUFFERED 1
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- # 2. System Dependencies: Install libraries required by OpenCV (cv2) and image processing
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- # libgl1 and libgomp1 are critical for running TensorFlow/Keras headless (without a display)
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- # NOTE: Removed build-essential/cmake for speed, using minimal required libs
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  RUN apt-get update && \
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  apt-get install -y --no-install-recommends \
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  libgl1 \
@@ -21,15 +19,17 @@ WORKDIR /app
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  COPY requirements.txt .
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  RUN pip install --no-cache-dir -r requirements.txt
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  # 3b. Copy the rest of your application code and models
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  COPY . .
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- # ๐Ÿ›‘ CRITICAL FIX: Grant write permission to the /app directory.
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- # This allows EasyOCR to create the 'easyocr_models' directory and save files without Permission Denied error.
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- RUN chmod -R 777 /app
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-
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  # 4. Deployment Configuration
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- # Hugging Face Spaces runs on port 7860 by default
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  ENV PORT 7860
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  # Run the application using Gunicorn (the production web server)
 
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  # 1. Base Image: Use a stable, slim Python image
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  FROM python:3.10-slim
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+ # Set the environment variable for Python
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  ENV PYTHONUNBUFFERED 1
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+ # 2. System Dependencies: Install libraries required for image processing
 
 
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  RUN apt-get update && \
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  apt-get install -y --no-install-recommends \
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  libgl1 \
 
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  COPY requirements.txt .
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  RUN pip install --no-cache-dir -r requirements.txt
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+ # ๐Ÿ›‘ CRITICAL FIX FOR EASYOCR PERMISSION: ๐Ÿ›‘
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+ # Create the necessary writable directory as root during the build process.
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+ # This prevents the application from crashing at runtime when the non-root user tries to create it.
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+ RUN mkdir -p /app/easyocr_models
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+ RUN chmod -R 777 /app/easyocr_models
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+ # NOTE: The chmod -R 777 /app fix you had is now replaced and refined by these two lines.
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+
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  # 3b. Copy the rest of your application code and models
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  COPY . .
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  # 4. Deployment Configuration
 
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  ENV PORT 7860
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  # Run the application using Gunicorn (the production web server)