Perth0603/Random-Forest-Model-for-PhishingDetection

1FROM python:3.10-slim2 3ENV PYTHONDONTWRITEBYTECODE=1 \4    PYTHONUNBUFFERED=1 \5    PIP_NO_CACHE_DIR=16 7WORKDIR /app8 9# Writable cache directory for HF/torch10RUN mkdir -p /data/.cache && chmod -R 777 /data11ENV HF_HOME=/data/.cache \12    TRANSFORMERS_CACHE=/data/.cache \13    TORCH_HOME=/data/.cache14 15# System deps (optional but helps with torch wheels)16RUN apt-get update && apt-get install -y --no-install-recommends \17    build-essential git && \18    rm -rf /var/lib/apt/lists/*19 20COPY requirements.txt /app/requirements.txt21RUN pip install -r /app/requirements.txt22 23COPY app.py /app/app.py24COPY autocalib_phishy.csv /app/autocalib_phishy.csv25COPY autocalib_legit.csv /app/autocalib_legit.csv26COPY known_hosts.csv /app/known_hosts.csv27 28# Default CSV envs to follow CSVs in image (can be overridden in Space settings)29ENV AUTOCALIB_PHISHY_CSV=/app/autocalib_phishy.csv \30    AUTOCALIB_LEGIT_CSV=/app/autocalib_legit.csv \31    KNOWN_HOSTS_CSV=/app/known_hosts.csv32 33EXPOSE 786034CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]35 36 37