Deploy backend Flask app

Dockerfile

@@ -1,18 +1,19 @@
-# Use Python base image
-FROM python:3.10-slim
+FROM python:3.9-slim
 
-# Set working directory
+# Set the working directory inside the container
 WORKDIR /app
 
-# Copy all files into the container
-COPY . /app
+# Copy all files from the current directory to the container's working directory
+COPY . .
 
-# Install dependencies
-RUN pip install --upgrade pip && \
-    pip install -r requirements.txt
+# Install dependencies from the requirements file without using cache to reduce image size
+RUN pip install --no-cache-dir --upgrade -r requirements.txt
 
 # Expose port for Streamlit
 EXPOSE 7860
 
-# Run Streamlit app.
-CMD ["streamlit", "run", "app.py", "--server.port=7860", "--server.address=0.0.0.0"]
+# Define the command to start the application using Gunicorn with 4 worker processes
+# - `-w 4`: Uses 4 worker processes for handling requests
+# - `-b 0.0.0.0:7860`: Binds the server to port 7860 on all network interfaces
+# - `app:app`: Runs the Flask app (assuming `app.py` contains the Flask instance named `app`)
+CMD ["gunicorn", "-w", "4", "-b", "0.0.0.0:7860", "app:bot_detector_api"]