Dockerfile

FROM python:3.10-slim

ENV PYTHONDONTWRITEBYTECODE=1 \
    PYTHONUNBUFFERED=1 \
    PORT=7860 \
    MODEL_ID=hexgrad/Kokoro-82M \
    DEFAULT_VOICE=af_heart \
    HF_HOME=/app/.cache/huggingface \
    TRANSFORMERS_CACHE=/app/.cache/huggingface

WORKDIR /app

RUN apt-get update && apt-get install -y --no-install-recommends \
    build-essential \
    libsndfile1 \
    ffmpeg \
    espeak-ng \
    && rm -rf /var/lib/apt/lists/*

COPY requirements.txt ./requirements.txt
RUN pip install --no-cache-dir --upgrade pip \
    && pip install --no-cache-dir --extra-index-url https://download.pytorch.org/whl/cpu -r requirements.txt

COPY . .

RUN mkdir -p /app/.cache/huggingface \
    && python - <<'PY'
import os
from huggingface_hub import snapshot_download
repo = os.environ['MODEL_ID']
cache_dir = '/app/.cache/huggingface'
path = snapshot_download(
    repo_id=repo,
    repo_type='model',
    cache_dir=cache_dir,
    allow_patterns=['*.json', '*.txt', '*.pt', '*.bin', '*.safetensors', 'tokenizer*', 'voices/*'],
    local_dir_use_symlinks=False,
)
print(path)
PY

EXPOSE 7860

CMD ["sh", "-c", "uvicorn app.main:app --host 0.0.0.0 --port ${PORT:-7860}"]