Add Dockerfile for Hugging Face detection

Dockerfile

@@ -0,0 +1,64 @@
+# Hugging Face Spaces Dockerfile
+# Multi-stage build for Hugging Face deployment
+
+# Stage 1: Build frontend
+FROM node:20-alpine AS frontend-builder
+
+WORKDIR /app/frontend
+
+# Copy package files
+COPY frontend/package*.json ./
+
+# Install dependencies
+RUN npm ci
+
+# Copy frontend source
+COPY frontend/ ./
+
+# Build arguments for environment variables
+# Hugging Face Spaces will provide the public URL
+ARG VITE_API_BASE_URL
+ENV VITE_API_BASE_URL=${VITE_API_BASE_URL}
+
+# Build frontend
+RUN npm run build
+
+# Stage 2: Python backend with frontend
+FROM python:3.11-slim
+
+# Set working directory
+WORKDIR /app
+
+# Install system dependencies including ffmpeg
+RUN apt-get update && \
+    apt-get install -y --no-install-recommends \
+    ffmpeg \
+    && rm -rf /var/lib/apt/lists/*
+
+# Copy requirements first for better caching
+COPY requirements.txt .
+
+# Install Python dependencies
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Copy application code
+COPY . .
+
+# Copy built frontend from builder stage
+COPY --from=frontend-builder /app/frontend/dist ./frontend/dist
+
+# Create storage directories
+RUN mkdir -p storage/images storage/videos
+
+# Hugging Face Spaces uses port 7860 by default
+# But we'll use PORT env var if provided, or default to 7860
+EXPOSE 7860
+
+# Health check
+HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
+    CMD python -c "import urllib.request; urllib.request.urlopen('http://localhost:7860/health')"
+
+# Run the application
+# Hugging Face Spaces provides PORT env var, default to 7860
+CMD python -c "import os; port = int(os.getenv('PORT', 7860)); import uvicorn; uvicorn.run('main:app', host='0.0.0.0', port=port)"
+

README.md

@@ -5,7 +5,6 @@ colorFrom: blue
 colorTo: purple
 sdk: docker
 sdk_version: latest
-app_file: Dockerfile.hf
 pinned: false
 license: mit
 ---