Create Dockerfile

Dockerfile

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+# Use a stable Python base image
+FROM python:3.9-slim
+
+# Set the working directory inside the container
+WORKDIR /app
+
+# Install system dependencies needed for libraries like OpenCV or Pillow
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    ffmpeg \
+    libsm6 \
+    libxext6 \
+    && rm -rf /var/lib/apt/lists/*
+
+# Copy the requirements file first to leverage Docker's layer caching
+COPY requirements.txt .
+
+# Install Python dependencies
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Copy the rest of the application files into the container
+COPY . .
+
+# Create a directory for the generated files
+RUN mkdir -p /app/generated
+
+# Expose the port the app will run on
+EXPOSE 5000
+
+# Command to run the application using Gunicorn, a production-grade server
+# The timeout is increased because the AI model can take a long time to respond.
+CMD ["gunicorn", "--bind", "0.0.0.0:5000", "--workers", "1", "--timeout", "300", "app:app"]