Update Dockerfile

Dockerfile

@@ -1,19 +1,23 @@
-# 1. Use a base Python image
-FROM python:3.10-slim
-
-# 2. Set the working directory inside the container
-WORKDIR /app
-
-# 3. Copy the dependencies file and install them
-COPY requirements.txt .
-RUN pip install --no-cache-dir -r requirements.txt
-
-# 4. Copy the rest of your application code
-COPY . .
-
-# 5. Expose the required port (Hugging Face default)
-EXPOSE 7860
-
-# 6. Start the production server (Gunicorn is highly recommended for production)
-# The format is: gunicorn -b <host>:<port> <app_file>:<flask_app_object>
-CMD ["gunicorn", "-b", "0.0.0.0:7860", "app:app"]
+Use the official Python 3.12 slim image. This version supports
+newer libraries like numpy==2.3.3 which require Python 3.11 or higher.
+FROM python:3.12-slim
+
+Set the working directory in the container
+WORKDIR /app
+
+Copy the requirements file into the container
+COPY requirements.txt .
+
+Install all Python dependencies, using the updated base image
+RUN pip install --no-cache-dir -r requirements.txt
+
+Copy the rest of the application code
+COPY . .
+
+Install gunicorn, which will be used to run the Flask app
+RUN pip install gunicorn
+
+Define the default command to run the application using gunicorn.
+The app:app assumes your Flask app instance is named app inside app.py.
+The port is set to 7860 as required by Hugging Face Spaces.
+CMD exec gunicorn --bind :7860 --workers 1 --threads 8 app:app