mobiledoc / Dockerfile
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adjusted the dockerfile to make it work with nltk
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# Use official Python 3.11 slim image
FROM python:3.11-slim
# Set environment variables
ENV PYTHONUNBUFFERED=1 \
PIP_NO_CACHE_DIR=1 \
POETRY_VIRTUALENVS_CREATE=false
# Install system dependencies for Python packages
RUN apt-get update && apt-get install -y --no-install-recommends \
build-essential \
git \
curl \
&& rm -rf /var/lib/apt/lists/*
# Set working directory
WORKDIR /app
# Copy only requirements first to leverage Docker cache
COPY requirements.txt .
# Upgrade pip and install Python dependencies
RUN pip install --upgrade pip
RUN pip install --no-cache-dir -r requirements.txt
# Pre-download NLTK resources
RUN python -m nltk.downloader punkt_tab
# Copy application code
COPY . .
# Tell NLTK where to find resources at runtime
ENV NLTK_DATA=/usr/local/nltk_data
# Expose port for FastAPI / Hugging Face Spaces
EXPOSE 7860
# Run FastAPI app with Uvicorn
CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860", "--reload"]