Dockerfile

# Base image with CUDA 12.1 + cuDNN 8 + Ubuntu 22.04
FROM nvidia/cuda:12.1.1-cudnn8-runtime-ubuntu22.04

# Avoid interactive prompts during package installation
ENV DEBIAN_FRONTEND=noninteractive

# Install system dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
    python3.10 \
    python3.10-venv \
    python3.10-dev \
    python3-pip \
    git \
    git-lfs \
    ffmpeg \
    libsm6 \
    libxext6 \
    libgl1-mesa-glx \
    libglib2.0-0 \
    cmake \
    rsync \
    wget \
    curl \
    && rm -rf /var/lib/apt/lists/* \
    && git lfs install

# Set python3.10 as the default python & pip
RUN ln -sf /usr/bin/python3.10 /usr/bin/python && \
    ln -sf /usr/bin/pip3 /usr/bin/pip && \
    python -m pip install --no-cache-dir --upgrade pip setuptools wheel

# Set working directory
WORKDIR /app

# Install PyTorch 2.3.0 + cu121 first (this is the version moshi-personaplex expects)
RUN pip install --no-cache-dir \
    torch==2.3.0+cu121 \
    torchaudio==2.3.0+cu121 \
    --index-url https://download.pytorch.org/whl/cu121

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

# Copy the rest of your application code
COPY . .

# Expose the port Gradio / FastAPI will use
EXPOSE 7860

# Command to run the application
CMD ["python", "app.py"]