UPDATE:

Dockerfile

@@ -1,41 +1,19 @@
-# 1. Start from a slim, official Python base image
 FROM python:3.12-slim
 
-# 2. Set environment variables
-#    - Prevents Python from writing .pyc files
-#    - Prevents Python from buffering stdout and stderr
-#    - Sets the location for uv's cache to a user-owned directory
-ENV PYTHONDONTWRITEBYTECODE 1
-ENV PYTHONUNBUFFERED 1
+COPY . /app
 
-# 3. Set the working directory
 WORKDIR /app
 
-# 4. Create a non-root user to run the application
-#    This is a critical security best practice.
-RUN useradd --create-home --shell /bin/bash appuser
+USER root
 
-# 5. Install uv globally (as root, which is fine for this step)
 RUN pip install uv
 
-# 6. Copy only the dependency file first to leverage Docker's layer caching
-COPY pyproject.toml ./
+RUN uv sync
 
-# 7. Install dependencies. This layer will only be re-built if pyproject.toml changes.
-#    We also ensure the virtual environment is created with correct ownership.
-RUN uv sync --system-site-packages && chown -R appuser:appuser /app/.venv
+RUN chmod -R 777 /app
 
-# 8. Copy the rest of the application source code
-COPY . .
+RUN chmod -R u+rwX,go+rX /app
 
-# 9. Change ownership of the entire app directory to the non-root user
-RUN chown -R appuser:appuser /app
+EXPOSE 7860
 
-# 10. Switch to the non-root user
-USER appuser
-
-# 11. Expose the correct port that the application runs on
-EXPOSE 8000
-
-# 12. Define the command to run the application
 CMD ["uv", "run", "main.py"]