Dockerfile.huggingface

# Use CUDA-enabled PyTorch base image
FROM pytorch/pytorch:2.1.0-cuda12.1-cudnn8-runtime

# Set working directory
WORKDIR /app

# Install system dependencies
RUN apt-get update && apt-get install -y \
    git \
    wget \
    && rm -rf /var/lib/apt/lists/*

# Copy requirements file
COPY requirements.txt .

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

# Copy project files
COPY . .

# Create directories for data and models
RUN mkdir -p weights

# Set environment variables
ENV PYTHONPATH=/app
ENV ONNX_MODEL_PATH="weights/toxic_classifier.onnx"
ENV PYTORCH_MODEL_DIR="weights/toxic_classifier_xlm-roberta-large"
ENV PORT=7860

# Set the entry point to run the Streamlit app
CMD ["streamlit", "run", "streamlit_app.py", "--server.port=7860", "--server.address=0.0.0.0", "--server.enableCORS=false", "--server.enableXsrfProtection=false"]