playwebit-t5-api / Dockerfile
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# Use a lightweight Python image
FROM python:3.9-slim
# Set the working directory inside the container
WORKDIR /app
# Copy requirements file and install dependencies
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
# Ensure necessary libraries for Hugging Face and document processing
RUN apt-get update && apt-get install -y \
libgl1-mesa-glx \
libglib2.0-0 \
&& rm -rf /var/lib/apt/lists/*
# Copy application files
COPY . .
# Expose the port Flask runs on
EXPOSE 7860
# Set environment variables for better CPU performance
ENV TOKENIZERS_PARALLELISM=false \
TRANSFORMERS_OFFLINE=1 \
HF_DATASETS_OFFLINE=1
# Run the application using Gunicorn with multiple workers
CMD ["gunicorn", "-w", "2", "-b", "0.0.0.0:7860", "app:app"]