Spaces:
Running
Running
File size: 2,132 Bytes
b7b041e 71a692e b7b041e 71a692e 5a90920 b7b041e 5a90920 b7b041e 5a90920 8e15490 b7b041e 71a692e b7b041e 8e15490 b7b041e 71a692e b7b041e 71a692e b7b041e 71a692e 5a90920 71a692e 5a90920 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 |
# Use Python base image (avoid slim on HF)
FROM python:3.11
# Set working directory
WORKDIR /app
# Environment variables (use port 8501 for Streamlit on HF Spaces)
ENV PYTHONDONTWRITEBYTECODE=1 \
PYTHONUNBUFFERED=1 \
STREAMLIT_SERVER_PORT=8501 \
STREAMLIT_SERVER_ADDRESS=0.0.0.0 \
STREAMLIT_BROWSER_GATHER_USAGE_STATS=false \
STREAMLIT_SERVER_HEADLESS=true \
STREAMLIT_SERVER_FILE_WATCHER_TYPE=none \
STREAMLIT_SERVER_RUN_ON_SAVE=false \
NLTK_DATA=/usr/share/nltk_data
# Install system dependencies (HF-safe)
RUN apt-get update --fix-missing && \
apt-get install -y --no-install-recommends \
build-essential \
curl \
git \
fontconfig \
fonts-dejavu-core && \
fc-cache -f && \
rm -rf /var/lib/apt/lists/*
# Copy requirements first (better cache)
COPY requirements.txt .
# Install Python dependencies
RUN pip install --no-cache-dir --upgrade pip && \
pip install --no-cache-dir -r requirements.txt
# Download spaCy models (required for text preprocessing)
RUN python -m spacy download en_core_web_sm && \
python -m spacy download xx_ent_wiki_sm
# Download NLTK data to shared location (accessible by appuser)
RUN mkdir -p /usr/share/nltk_data && \
python -c "import nltk; nltk.download('punkt', download_dir='/usr/share/nltk_data'); nltk.download('punkt_tab', download_dir='/usr/share/nltk_data'); nltk.download('averaged_perceptron_tagger', download_dir='/usr/share/nltk_data')" && \
chmod -R 755 /usr/share/nltk_data
# Copy application files
COPY app.py .
COPY topic_modeling.py .
COPY text_preprocessor.py .
COPY gini_calculator.py .
COPY topic_evolution.py .
COPY narrative_similarity.py .
COPY resource_path.py .
COPY sample_data.csv .
# Copy Streamlit config (fixes 403 upload error)
COPY .streamlit/config.toml .streamlit/config.toml
# Create non-root user (HF compatible)
RUN useradd -m appuser
USER appuser
# Expose Streamlit default port
EXPOSE 8501
# Run Streamlit (disable file watcher to prevent restart loops)
CMD ["streamlit", "run", "app.py", "--server.port=8501", "--server.address=0.0.0.0", "--server.fileWatcherType=none"]
|