Update Dockerfile

Dockerfile

@@ -5,10 +5,14 @@ FROM python:3.9-slim
 WORKDIR /app
 
 # Install system dependencies
-RUN apt-get update && apt-get install -y \
+# - build-essential: for compiling Python packages if needed
+# - curl: for the healthcheck
+# - libgl1-mesa-glx: dependency for OpenCV (to fix libGL.so.1 error)
+RUN apt-get update && \
+    apt-get install -y \
     build-essential \
     curl \
-    libgl1-mesa-glx \ # Added this line for OpenCV dependency
+    libgl1-mesa-glx \
     && rm -rf /var/lib/apt/lists/*
 
 # Copy the requirements file first to leverage Docker cache
@@ -19,15 +23,17 @@ COPY requirements.txt ./
 RUN pip3 install --no-cache-dir -r requirements.txt
 
 # Create necessary subdirectories within /app for your application's structure
+# These directories will hold your models, CSS, and images
 RUN mkdir -p /app/face_detector /app/css /app/images
 
-# Copy your application files into the container, placing them in the correct subdirectories
+# Copy your application files into the container,
+# placing them in the correct subdirectories as expected by app.py
 COPY app.py ./app.py
 COPY deploy.prototxt /app/face_detector/deploy.prototxt
 COPY res10_300x300_ssd_iter_140000.caffemodel /app/face_detector/res10_300x300_ssd_iter_140000.caffemodel
 COPY mask_detector.h5 ./mask_detector.h5
 COPY styles.css /app/css/styles.css
-COPY out.jpg /app/images/out.jpg
+COPY out.jpg /app/images/out.jpg # Copies the out.jpg from your repo
 
 # Expose the port Streamlit runs on (default is 8501)
 EXPOSE 8501
@@ -36,4 +42,5 @@ EXPOSE 8501
 HEALTHCHECK CMD curl --fail http://localhost:8501/_stcore/health
 
 # Set the entrypoint to run the Streamlit application
+# This will execute: streamlit run app.py --server.port=8501 --server.address=0.0.0.0
 ENTRYPOINT ["streamlit", "run", "app.py", "--server.port=8501", "--server.address=0.0.0.0"]