Dockerfile

# Use an official Python runtime as a parent image
FROM python:3.9-slim

# Set the working directory in the container
WORKDIR /app

# Install necessary dependencies for OpenCV and Git
RUN apt-get update && \
    apt-get install -y \
    git \
    libgl1-mesa-glx \
    libglib2.0-0 \
    libsm6 \
    libxext6 \
    libxrender1 && \
    rm -rf /var/lib/apt/lists/*

# Clone the repository
RUN git clone `--single-branch` https://github.com/jacobm85/bulk-blur-detection.git .

# Install any needed packages specified in requirements.txt
RUN pip install --no-cache-dir -r requirements.txt
RUN pip install flask flask-socketio eventlet scikit-image
# Install TensorFlow (for model loading)
#RUN pip install --no-cache-dir tensorflow-cpu  # 'tensorflow' or 'tensorflow-cpu' for CPU version

# Copy all the local files into the /app directory
COPY . /app

# Copy the index.html file
COPY templates/index.html /app/templates/index.html

# Copy the web app code
COPY app.py /app/app.py

# Copy the detector code
COPY process_blurry_images.py /app/process_blurry_images.py

# Expose the port the app runs on
EXPOSE 5000

# Command to run the application
CMD ["python", "app.py"]