Spaces:
Running
Running
File size: 1,191 Bytes
00a0ae0 6d01d5b 0889e65 6d01d5b 00a0ae0 9fe59b0 00a0ae0 dc871e9 00a0ae0 08d7c19 00a0ae0 08d7c19 6d01d5b 00a0ae0 08d7c19 6d01d5b 00a0ae0 0889e65 08d7c19 00a0ae0 6d01d5b 08d7c19 00a0ae0 6d01d5b 08d7c19 00a0ae0 0889e65 00a0ae0 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 |
# Use Python 3.10 slim for ML workloads
FROM python:3.10-slim
# Set working directory
WORKDIR /app
# Set environment variables
ENV PYTHONUNBUFFERED=1 \
PYTHONDONTWRITEBYTECODE=1 \
DEBIAN_FRONTEND=noninteractive \
PORT=7860
# Install system dependencies
RUN apt-get update && apt-get install -y \
ffmpeg \
libsndfile1 \
libasound2-dev \
portaudio19-dev \
wget \
curl \
git \
build-essential \
&& rm -rf /var/lib/apt/lists/*
# Copy requirements first for better caching
COPY requirements-hf.txt .
# Install Python dependencies
RUN pip install --no-cache-dir --upgrade pip && \
pip install --no-cache-dir -r requirements-hf.txt
# Install PyTorch CPU (before copying app code)
RUN pip install --no-cache-dir torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu
# Copy app source code
COPY . .
# Create necessary directories
RUN mkdir -p vector_store logs
# Expose port
EXPOSE 7860
# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
CMD curl -f http://localhost:7860/ || exit 1
# Run FastAPI app
CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "7860"]
|