Update Dockerfile

Dockerfile

@@ -1,39 +1,34 @@
 # Use an official PyTorch image with CUDA support
 FROM pytorch/pytorch:2.1.0-cuda12.1-cudnn8-runtime
 
-# Set environment variables
-ENV PYTHONUNBUFFERED=1 \
+# 1. Fix the "Time Zone" hang: Set to non-interactive and default to UTC
+ENV DEBIAN_FRONTEND=noninteractive \
+    TZ=Etc/UTC \
+    PYTHONUNBUFFERED=1 \
     GRADIO_ALLOW_FLAGGING=never \
-    GRADIO_NUM_PORTS=1 \
     GRADIO_SERVER_NAME="0.0.0.0" \
-    GRADIO_THEME=huggingface \
     HOME=/home/user
 
-# Install system dependencies
+# 2. Install system dependencies (tzdata is installed silently now)
 RUN apt-get update && apt-get install -y \
+    tzdata \
     git \
     libgl1-mesa-glx \
     libglib2.0-0 \
     && rm -rf /var/lib/apt/lists/*
 
-# Create a non-root user
+# 3. Set up the Hugging Face User (Required for Spaces)
 RUN useradd -m -u 1000 user
 USER user
 WORKDIR $HOME/app
 
-# Copy requirements and install
-# (Assuming you have a requirements.txt with diffusers, transformers, accelerate, gradio)
+# 4. Install Python dependencies
 COPY --chown=user requirements.txt .
 RUN pip install --no-cache-dir -r requirements.txt
 
-# Copy the rest of the application
+# 5. Copy the rest of your code
 COPY --chown=user . .
 
-# Make the startup script executable
+# 6. Make start script executable and launch
 RUN chmod +x start.sh
-
-# Expose the port Gradio runs on
-EXPOSE 7860
-
-# Run the startup script
 CMD ["./start.sh"]