Create Dockerfile

Dockerfile

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+# Use an official Python runtime as a base image
+FROM python:3.9-slim
+
+# Set working directory in the container
+WORKDIR /app
+
+# Install system dependencies required for TensorFlow and other packages
+RUN apt-get update && apt-get install -y \
+    gcc \
+    g++ \
+    make \
+    && rm -rf /var/lib/apt/lists/*
+
+# Copy requirements file first to leverage Docker cache
+COPY requirements.txt .
+
+# Install Python dependencies
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Copy the rest of the application files
+COPY . .
+
+# Expose the port Streamlit will run on
+EXPOSE 8501
+
+# Health check to ensure the application is running
+HEALTHCHECK CMD curl --fail http://localhost:8501/_stcore/health || exit 1
+
+# Command to run the application
+CMD ["streamlit", "run", "app.py", "--server.port=8501", "--server.address=0.0.0.0"]