Dockerfile

# -----------------------------
# 1️⃣ Build Frontend
# -----------------------------
FROM node:18-bullseye AS frontend-builder
WORKDIR /app/frontend
COPY frontend/package*.json ./
RUN npm install
COPY frontend/ .
RUN npm run build

# -----------------------------
# 2️⃣ Build Backend
# -----------------------------
FROM python:3.10-slim-bullseye

WORKDIR /app

# Install essential system libraries for OpenCV, YOLO, and Ultralytics
RUN apt-get update && apt-get install -y \
    libgl1 \
    libglib2.0-0 \
    libgomp1 \
 && apt-get clean && rm -rf /var/lib/apt/lists/*

# Copy backend source code
COPY backend/ .

# Copy built frontend into the right folder for FastAPI
# ✅ this must match your app.mount() path in app.py
COPY --from=frontend-builder /app/frontend/dist ./frontend/dist

# Install Python dependencies
RUN pip install --upgrade pip
RUN pip install -r requirements.txt || pip install -r backend/requirements.txt || true

# Install runtime dependencies explicitly
RUN pip install --no-cache-dir fastapi uvicorn python-multipart ultralytics opencv-python-headless pillow numpy scikit-learn tensorflow keras

# Hugging Face Spaces sets PORT (default 7860). Listen on $PORT for compatibility.
EXPOSE 7860

# Run FastAPI app (respect PORT env var if set by the platform)
CMD ["sh", "-c", "uvicorn app:app --host 0.0.0.0 --port ${PORT:-7860}"]