Dockerfile

# Build Stage for Frontend
FROM node:18-alpine as frontend-build
WORKDIR /app/frontend
COPY frontend/package*.json ./
RUN npm ci
COPY frontend ./
RUN npm run build

# Runtime Stage
FROM python:3.10-slim

# Install system dependencies
RUN apt-get update && apt-get install -y \
    ffmpeg \
    libsm6 \
    libxext6 \
    libgl1 \
    build-essential \
    cmake \
    git \
    wget \
    curl \
    && rm -rf /var/lib/apt/lists/*

WORKDIR /app

# Build whisper.cpp
RUN git clone https://github.com/ggerganov/whisper.cpp.git /app/whisper.cpp \
    && cd /app/whisper.cpp \
    && cmake -B build \
    && cmake --build build --config Release \
    && cp build/bin/whisper-cli /usr/local/bin/whisper

# Download Whisper model
RUN mkdir -p /app/models \
    && wget -q https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-base.en.bin \
    -O /app/models/ggml-base.en.bin

# Copy requirements and install
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt

# Note: SmolVLM model downloads on first use (~500MB)
# This avoids build timeouts on free tier

# Copy Backend Code
COPY backend ./backend

# Copy Built Frontend from Stage 1
COPY --from=frontend-build /app/frontend/dist ./frontend/dist

# Initialize directories
RUN mkdir -p /app/data/jobs

# Environment Variables
ENV PYTHONPATH=/app
ENV JOBS_DIR=/app/data/jobs
ENV WHISPER_BIN_PATH=/usr/local/bin/whisper
ENV WHISPER_MODEL_PATH=/app/models/ggml-base.en.bin

# Hugging Face runs as user 1000, ensure permissions
RUN chown -R 1000:1000 /app /app/data

# Run Uvicorn on port 7860 (Hugging Face standard)
CMD ["uvicorn", "backend.main:app", "--host", "0.0.0.0", "--port", "7860"]