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File size: 1,082 Bytes
60c7bb2 c67c5df 9c56103 60c7bb2 922750a 60c7bb2 dc472b0 c67c5df dc472b0 9e59b82 60c7bb2 9c56103 c67c5df 60c7bb2 87705c7 60c7bb2 87705c7 60c7bb2 dc472b0 60c7bb2 c67c5df 9c56103 dc472b0 dfcbfef 7899208 9c56103 c67c5df 9c56103 9e59b82 | 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 | FROM python:3.13-slim
WORKDIR /app
# Environment variables
ENV HOME=/app
ENV XDG_CONFIG_HOME=/app/.streamlit
ENV NLTK_DATA=/app/nltk_data
# Install system dependencies
RUN apt-get update && apt-get install -y \
build-essential \
curl \
software-properties-common \
git \
&& rm -rf /var/lib/apt/lists/*
# Create necessary directories
RUN mkdir -p /app/.streamlit /app/nltk_data && chmod -R 777 /app
# Copy files
COPY requirements.txt ./
COPY src/ ./src/
COPY src/c_d.csv ./src/
COPY src/logistic_models.pkl ./src/
COPY src/tfidf.pkl ./src/
COPY src/multilabels.pkl ./src/
# Install Python dependencies
RUN pip install --no-cache-dir -r requirements.txt
# 👇 Run NLTK downloads only after nltk is installed
RUN python -m nltk.downloader -d /app/nltk_data punkt averaged_perceptron_tagger wordnet stopwords
RUN python -m nltk.downloader -d /app/nltk_data punkt punkt_tab averaged_perceptron_tagger wordnet stopwords
# Expose port
EXPOSE 8501
# Start app
CMD ["streamlit", "run", "src/streamlit_app.py", "--server.port=8501", "--server.address=0.0.0.0"]
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