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Dockerfile
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# 1. Base Image
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FROM python:3.10-slim
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#
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ENV PYTHONUNBUFFERED
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ENV PORT 7860
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#
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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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libgomp1 \
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libsm6 libxext6 \
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&& apt-get clean && rm -rf /var/lib/apt/lists/*
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#
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WORKDIR /app
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#
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COPY requirements.txt .
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RUN pip install --no-cache-dir -r requirements.txt
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#
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RUN mkdir -p /
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RUN mkdir -p /app/
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RUN mkdir -p /app/uploads
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RUN chmod -R 777 /app/easyocr_models /app/models /app/uploads
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COPY cnn_model.h5 /app/models/cnn_model.h5
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# 8. Copy rest of your application
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COPY . .
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CMD exec gunicorn --bind 0.0.0.0:$PORT --workers 1 --threads 8 app:app
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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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# Ensure Python output is not buffered
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ENV PYTHONUNBUFFERED=1
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# 2. Install system dependencies required for image processing & EasyOCR
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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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libgomp1 \
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libsm6 libxext6 libxrender1 \
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&& apt-get clean && rm -rf /var/lib/apt/lists/*
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# 3. Set the working directory
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WORKDIR /app
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# 4. Copy dependency file and install Python packages
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COPY requirements.txt .
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RUN pip install --no-cache-dir -r requirements.txt
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# 5. Fix EasyOCR permission issue by pre-creating writable directories
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RUN mkdir -p /.EasyOCR && chmod -R 777 /.EasyOCR
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RUN mkdir -p /app/easyocr_models && chmod -R 777 /app/easyocr_models
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# 6. Copy all project files into the container
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COPY . .
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# 7. (Optional but recommended) Verify model files exist
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# You can uncomment this line for debugging:
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# RUN ls -al /app
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# 8. Environment variables for the app
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ENV PORT=7860
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# 9. Expose the port (Hugging Face uses this automatically)
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EXPOSE 7860
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# 10. Command to run the app via Gunicorn (production-grade WSGI server)
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CMD exec gunicorn --bind 0.0.0.0:$PORT --workers 1 --threads 8 app:app
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