Upload Dockerfile with huggingface_hub

Dockerfile

@@ -0,0 +1,27 @@
+# Use a base image with Python
+FROM python:3.9-slim
+
+# Set the working directory in the container
+WORKDIR /app
+
+# Copy the requirements file and install dependencies
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Copy the application files
+COPY app_flask.py .
+COPY app.py .
+COPY best_random_forest_pipeline.joblib .
+
+# Expose the port that your Flask app will run on (Gunicorn default is 8000)
+EXPOSE 8000
+
+# Expose the port that your Streamlit app will run on
+EXPOSE 8501
+
+# Command to run the application
+# This command starts Gunicorn for the Flask app in the background
+# and then starts the Streamlit app.
+# Note: In a production environment, a process manager like supervisord
+# is recommended for robust process management.
+CMD ["sh", "-c", "gunicorn --bind 0.0.0.0:8000 app_flask:app & streamlit run app.py --server.port 8501 --server.enableCORS false --server.enableXsrfProtection false"]