Update Dockerfile

Dockerfile

@@ -1,38 +1,27 @@
 # 1. Base Image
 FROM python:3.11-slim
 
-# 2. Set environment variables
+# 2. Set environment variables for a non-interactive server
 ENV PYTHONDONTWRITEBYTECODE 1
 ENV PYTHONUNBUFFERED 1
-ENV STREAMLIT_SERVER_HEADLESS=true
-# --- THE DEFINITIVE FIX IS HERE ---
-# Tell Hugging Face to use a cache directory INSIDE the user's home folder
-ENV HF_HOME=/home/user/.cache/huggingface
-# --- END FIX ---
 
-# 3. Install System Dependencies
+# 3. Install the single critical system dependency for OpenCV
 RUN apt-get update && apt-get install -y --no-install-recommends \
-    git git-lfs libgl1 \
+    libgl1 \
     && rm -rf /var/lib/apt/lists/*
 
-# 4. Create and switch to a non-root user
-RUN useradd -m -u 1000 user
-USER user
-WORKDIR /home/user/app
+# 4. Set the working directory
+WORKDIR /app
 
-# 5. Copy and install Python requirements
-COPY --chown=user:user requirements.txt packages.txt ./
-RUN pip install --no-cache-dir -r requirements.txt
-
-# 6. Pre-download the model's configuration files (as the correct user)
-#    This is a small download and ensures the cache directory is created.
-RUN python -c "from transformers import AutoImageProcessor; AutoImageProcessor.from_pretrained('google/efficientnet-b2')"
+# 5. Copy ALL necessary files at once (respecting .dockerignore)
+# This is the simplest and most robust way.
+COPY . .
 
-# 7. Copy application code and model artifacts
-COPY --chown=user:user . .
-RUN git lfs pull
+# 6. Install Python packages and immediately clean up the cache
+RUN pip install --no-cache-dir -r requirements.txt
 
-# 8. Expose port and run the app
+# 7. Expose the port
 EXPOSE 8501
-HEALTHCHECK CMD curl --fail http://localhost:8501/_stcore/health
-ENTRYPOINT ["python", "-m", "streamlit", "run", "app.py", "--server.port=7860", "--server.address=0.0.0.0"]
+
+# 8. Entrypoint to run the app
+ENTRYPOINT ["streamlit", "run", "app.py", "--server.port=8501", "--server.address=0.0.0.0", "--server.enableCORS", "false"]