Update Dockerfile

Dockerfile

@@ -1,35 +1,33 @@
-# Use an official Python runtime as a parent image
+# Step 1: Use an official Python base image
 FROM python:3.9-slim
 
-# Install system dependencies for OpenCV, including libGL.so.1 and others
+# Step 2: Set environment variables to prevent Python from writing .pyc files and to ensure the app runs in the background
+ENV PYTHONDONTWRITEBYTECODE 1
+ENV PYTHONUNBUFFERED 1
+
+# Step 3: Install system dependencies
 RUN apt-get update && apt-get install -y \
+    gcc \
+    g++ \
+    make \
     libgl1-mesa-glx \
     libglib2.0-0 \
-    libsm6 \
-    libxext6 \
-    libxrender1 \
     && rm -rf /var/lib/apt/lists/*
 
-# Set the working directory in the container
+# Step 4: Set the working directory inside the container
 WORKDIR /app
 
-# Create a new directory for Torch cache
-RUN mkdir -p /app/.cache/torch
-
-# Set environment variable to use the new cache location
-ENV TORCH_HOME=/app/.cache/torch
-
-# Copy the current directory contents into the container at /app
-COPY . /app
+# Step 5: Copy the requirements file into the container
+COPY requirements.txt /app/
 
-# Install any needed packages specified in requirements.txt
+# Step 6: Install the Python dependencies
 RUN pip install --no-cache-dir -r requirements.txt
 
-# Install Gunicorn
-RUN pip install gunicorn
+# Step 7: Copy the rest of the application files into the container
+COPY . /app/
 
-# Expose the port the app runs on
+# Step 8: Expose the port that the Flask app will run on
 EXPOSE 5000
 
-# Run the Gunicorn server when the container launches
-CMD ["gunicorn", "--bind", "0.0.0.0:5000", "app:app"]
+# Step 9: Set the entry point to start the Flask application
+CMD ["python", "app.py"]