Dockerfile

# Use PyTorch as base image (comes with CUDA support in the GPU variant)
FROM pytorch/pytorch:2.0.1-cuda11.7-cudnn8-runtime

# Set working directory
WORKDIR /app

# Set environment variables
ENV PYTHONDONTWRITEBYTECODE=1 \
    PYTHONUNBUFFERED=1 \
    KMP_DUPLICATE_LIB_OK=TRUE \
    DEBIAN_FRONTEND=noninteractive \
    TZ=UTC

# Install system dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
    ffmpeg \
    libsndfile1 \
    build-essential \
    && apt-get clean \
    && rm -rf /var/lib/apt/lists/*

# Create directory for model caching
RUN mkdir -p /root/.cache/huggingface

# Copy requirements file
COPY requirements.txt .

# Install Python dependencies
RUN pip install --no-cache-dir -r requirements.txt 

# Copy application code
COPY profanity_detector.py .

# Expose the Gradio port
EXPOSE 7860

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