Optimize Hugging Face build context and permissions

.dockerignore

@@ -0,0 +1,31 @@
+# EXCLUDE HEAVY FILES FROM DOCKER BUILD CONTEXT
+# This fixes the "No Logs" hanging on Hugging Face during upload
+.git
+.github
+venv
+__pycache__
+*.pyc
+*.pyo
+*.pyd
+.Python
+env/
+.env
+
+# REDUNDANT FOLDERS (Project Archive)
+archive/
+final_hf/
+vision-ai-engine/
+node_modules/
+
+# LOCAL WEIGHTS (Will be downloaded during build for stability)
+.deepface/weights/*
+! .deepface/weights/.gitkeep
+models/*.h5
+
+# LOGS & TEMPS
+*.log
+app/static/uploads/*
+! app/static/uploads/.gitkeep
+.ipynb_checkpoints
+.claude
+.hf_token

Dockerfile

@@ -1,51 +1,52 @@
-# VISION.AI - Hugging Face Spaces
+# VISION.AI - Hugging Face Spaces (Optimized)
 FROM python:3.10-slim
 
-# System dependencies for OpenCV
+# Set environment variables for non-root user
+ENV DEEPFACE_HOME=/home/user
+ENV MPLCONFIGDIR=/home/user/.matplotlib
+ENV HF_HOME=/home/user/.cache/huggingface
+ENV PORT=7860
+ENV PYTHONUNBUFFERED=1
+
+# Install system dependencies for OpenCV and DeepFace
 RUN apt-get update && apt-get install -y \
     libgl1 \
     libglib2.0-0 \
     libsm6 \
     libxext6 \
     libxrender-dev \
+    git \
     && rm -rf /var/lib/apt/lists/*
 
-WORKDIR /app
-
-ENV DEEPFACE_HOME=/app
-ENV PORT=7860
+# Setup non-root user (Standard for Hugging Face Spaces)
+RUN useradd -m -u 1000 user
+USER user
+WORKDIR /home/user/app
 
-COPY requirements.txt .
+# Set PATH for the new user
+ENV PATH="/home/user/.local/bin:${PATH}"
 
-# Step 1: upgrade pip
-RUN pip install --no-cache-dir --upgrade pip
+# Prepare directories with correct permissions (Hugging Face /home/user is writable)
+RUN mkdir -p /home/user/.deepface/weights \
+    && mkdir -p /home/user/app/static/uploads
 
-# Step 2: install tensorflow-cpu first (largest package, isolated for visibility)
-RUN pip install --no-cache-dir --timeout 180 --retries 5 --progress-bar on tensorflow-cpu==2.15.1
+# Install core dependencies first (TensorFlow is the largest)
+COPY --chown=user:user requirements.txt .
+RUN pip install --no-cache-dir --upgrade pip \
+    && pip install --no-cache-dir tensorflow-cpu==2.15.1 \
+    && pip install --no-cache-dir -r requirements.txt
 
-# Step 3: install tf-keras (depends on tensorflow)
-RUN pip install --no-cache-dir --timeout 60 tf-keras
-
-# Step 4: install everything else
-RUN pip install --no-cache-dir --timeout 120 --retries 3 \
-    flask>=3.0.0 \
-    flask-cors>=4.0.0 \
-    opencv-python-headless>=4.8.0 \
-    deepface>=0.0.86 \
-    "numpy>=1.24.0,<2.0" \
-    pillow>=10.0.0 \
-    python-dotenv>=1.0.0 \
-    gunicorn>=21.2.0 \
-    "werkzeug>=3.0.0" \
-    "huggingface_hub>=0.20.0"
-
-# Copy only the build script, then download models
-COPY scripts/build_models.py scripts/build_models.py
+# Pre-download models during BUILD phase (Ensures runtime stability)
+COPY --chown=user:user scripts/build_models.py scripts/build_models.py
 RUN python scripts/build_models.py
 
 # Copy the rest of the application
-COPY . .
+COPY --chown=user:user . .
+
+# Ensure the upload folder is definitely writable by the app
+RUN chmod 777 /home/user/app/static/uploads
 
 EXPOSE 7860
 
-CMD ["gunicorn", "-w", "1", "-b", "0.0.0.0:7860", "--timeout", "300", "--access-logfile", "-", "--error-logfile", "-", "run:app"]
+# CMD to start the Gunicorn server
+CMD ["gunicorn", "-w", "1", "-b", "0.0.0.0:7860", "--timeout", "300", "run:app"]