Ai_lip_sync / Dockerfile
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# Use an official Python runtime as a parent image
FROM python:3.9-slim
# Set environment variables for Python and Numba
ENV PYTHONDONTWRITEBYTECODE=1 \
PYTHONUNBUFFERED=1 \
NUMBA_CACHE_DIR=/tmp/numba_cache
# Set the working directory
WORKDIR /app
# Copy the requirements file into the container at /app
COPY requirements.txt /app/
# Install build dependencies
RUN apt-get update && \
apt-get install -y --no-install-recommends \
llvm \
clang \
build-essential \
libedit-dev \
libffi-dev \
python3-dev \
libgl1-mesa-glx \
libsm6 \
libxrender1 \
libglib2.0-0 \
ffmpeg \
libsndfile1 \
libsndfile1-dev \
&& rm -rf /var/lib/apt/lists/*
# Set LLVM_CONFIG before building llvmlite (if needed)
# For numba 0.48.0 and llvmlite 0.31.0, often llvm-config-8 or llvm-config-9 is relevant.
# Python 3.9 is newer, so you might need to ensure a compatible LLVM is installed.
# Let's try to be specific for older LLVM needed by llvmlite 0.31.0
RUN apt-get update && apt-get install -y llvm-9-dev && rm -rf /var/lib/apt/lists/*
ENV LLVM_CONFIG=/usr/bin/llvm-config-9
# Explicitly install compatible versions of core audio/Numba stack
# Order matters: numpy -> llvmlite -> numba -> resampy -> librosa
RUN pip install --no-cache-dir \
numpy==1.22.4 \
llvmlite==0.31.0 \
numba==0.48.0 \
resampy==0.2.2 \
librosa==0.8.1
# Install other Python dependencies from requirements.txt
RUN pip install --no-cache-dir -r requirements.txt
# Copy the rest of the application
COPY . /app/
# Create necessary directories
RUN mkdir -p /app/cache /app/uploads /app/results /app/checkpoints /app/temp \
&& chmod -R 777 /app/cache /app/uploads /app/results /app/checkpoints /app/temp
# Ensure full permissions for app directory
RUN chmod -R 777 /app
# Expose the app port
EXPOSE 7860
# Set Flask environment variables
ENV FLASK_APP=app.py \
FLASK_ENV=production
# Start the application with Gunicorn
CMD ["gunicorn", "--bind", "0.0.0.0:7860", "app:app"]