Final Docker fix: Added PATH and --user flag for pip install to resolve ModuleNotFoundError

Dockerfile

@@ -1,9 +1,10 @@
-# Use a lighter PyTorch image to save space and time
+# Use a robust base image with Python 3.11 for AI tasks
 FROM pytorch/pytorch:2.0.1-cuda11.7-cudnn8-runtime
 
 ENV PYTHONUNBUFFERED=1
+ENV PATH="/home/user/.local/bin:$PATH" # Set PATH to find locally installed binaries
 
-# Install system dependencies
+# Install system dependencies (FFmpeg is required for moviepy)
 RUN apt-get update && apt-get install -y --no-install-recommends \
     ffmpeg \
     libsm6 \
@@ -17,17 +18,20 @@ WORKDIR /home/user/app
 # 1. Create the user
 RUN useradd -m user
 
-# 2. INSTALL DEPENDENCIES FIRST (as root)
+# 2. INSTALL DEPENDENCIES (using the safe --user flag and targeting the user's home)
+# This prevents permission issues and ensures modules are accessible
 COPY requirements.txt .
-RUN pip install --no-cache-dir -r requirements.txt
+RUN pip install --no-cache-dir --user -r requirements.txt
 
 # 3. CREATE DIRECTORIES AND SET PERMISSIONS (as root)
-RUN mkdir -p downloads clips && chown -R user:user /home/user/app
+# The RUN commands run as root by default, so we create and change ownership
+RUN mkdir -p downloads clips && chown -R user:user /home/user/app /home/user/.local
 
-# 4. NOW SWITCH TO THE USER
+# 4. SWITCH TO THE LIMITED USER
 USER user
 
 # 5. COPY THE CODE
 COPY --chown=user:user . .
 
-CMD ["python3", "bot.py"]
+# 6. Run the application
+CMD ["python3", "bot.py"]