Dockerfile

FROM python:3.11-slim

# System deps + deno (yt-dlp JS challenge solver)
RUN apt-get update && apt-get install -y --no-install-recommends \
    ffmpeg git curl unzip \
    libass9 libass-dev \
    fontconfig \
    && curl -fsSL https://deno.land/install.sh | sh \
    && rm -rf /var/lib/apt/lists/*

ENV DENO_INSTALL="/root/.deno"
ENV PATH="$DENO_INSTALL/bin:$PATH"

WORKDIR /app

# numpy ကို ဦးစွာ install (torch မတိုင်ခင်)
RUN pip install --no-cache-dir "numpy<2"

# torch CPU only
RUN pip install --no-cache-dir \
    torch==2.2.2+cpu torchaudio==2.2.2+cpu \
    --index-url https://download.pytorch.org/whl/cpu

COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt

# yt-dlp latest
RUN pip install --no-cache-dir -U "yt-dlp[default]"
RUN pip install faster-whisper
RUN pip install -U "yt-dlp[default,curl-cffi]"

# Copy all application files (login.html ဖယ်ထုတ်ပြီ — index.html ထဲ ပေါင်းထည့်ပြီးပြီ)
COPY app.py .
COPY run_bot.py .
COPY bot.py .
COPY index.html .
COPY payment.html .
COPY payment_history.html .
COPY privacy.html .
COPY terms.html .
COPY NotoSansMyanmar-Bold.ttf .
COPY m_youtube_com_cookies.txt .
COPY start.sh .
COPY manifest.json .
COPY sw.js .
RUN chmod +x start.sh

# Create necessary directories
RUN mkdir -p outputs slips temp_prev temp_thumb temp_

# Install NotoSansMyanmar to system fonts + build isolated fonts.conf
RUN mkdir -p /usr/local/share/fonts/myanmar \
 && cp /app/NotoSansMyanmar-Bold.ttf /usr/local/share/fonts/myanmar/ \
 && fc-cache -fv \
 && fc-list | grep -i myanmar || true

# Write isolated fonts.conf at build time (only Myanmar font dir)
RUN mkdir -p /app/fc_conf && \
    printf '<?xml version="1.0"?>\n\
<!DOCTYPE fontconfig SYSTEM "fonts.dtd">\n\
<fontconfig>\n\
  <dir>/usr/local/share/fonts/myanmar</dir>\n\
  <dir>/app</dir>\n\
  <cachedir>/tmp/fc_cache</cachedir>\n\
  <config><rescan><int>30</int></rescan></config>\n\
</fontconfig>\n' > /app/fc_conf/fonts.conf

# Pre-download Whisper 'tiny' model at build time → no delay on first request
RUN python -c "import whisper; whisper.load_model('tiny', device='cpu'); print('✅ Whisper tiny model cached')"

RUN deno --version && yt-dlp --version && python -c "import numpy; print('numpy', numpy.__version__)"

EXPOSE 7860
CMD ["./start.sh"]