Dockerfile_train

FROM python:3.10

# Definir HOME y rutas de caché para Hugging Face
WORKDIR /home/user/app
ENV HOME="/tmp"
ENV HF_HOME="/tmp/.cache/huggingface"
ENV OMP_NUM_THREADS=1

# Configuración de Git vía variables de entorno (sin .gitconfig)
ENV GIT_AUTHOR_NAME="sob111"
ENV GIT_AUTHOR_EMAIL="[email protected]"
ENV GIT_COMMITTER_NAME="sob111"
ENV GIT_COMMITTER_EMAIL="[email protected]"

# Instalar dependencias del sistema y herramientas para el modo desarrollador
RUN apt-get update && apt-get install -y \
    git wget ffmpeg libsndfile1 unzip build-essential \
    bash curl wget procps \
    && rm -rf /var/lib/apt/lists/*

# Instalar dependencias Python
COPY requirements.txt .
RUN pip install --upgrade pip \
    && pip install --no-cache-dir -r requirements.txt

# Instalar Coqui TTS en editable mode desde v0.22.0
RUN git clone --branch v0.22.0 https://github.com/coqui-ai/TTS.git /home/user/TTS \
    && cd /home/user/TTS \
    && git submodule update --init --recursive \
    && pip install --no-cache-dir -e .

# 🔧 Crear sitecustomize que simula numba (shim) y parchea librosa
RUN cat > /usr/local/lib/python3.10/site-packages/sitecustomize.py <<'PY'
import sys
import types
import os

# Asegurar cache de numba
NUMBA_CACHE = "/tmp/numba_cache"
try:
    os.makedirs(NUMBA_CACHE, exist_ok=True)
    os.chmod(NUMBA_CACHE, 0o777)
except Exception:
    pass

# Crear un shim de numba si no existe
if "numba" not in sys.modules:
    shim = types.ModuleType("numba")
    shim.__file__ = "<numba_shim>"

    def _identity_decorator(*d_args, **d_kwargs):
        def _decorator(func):
            return func
        if len(d_args) == 1 and callable(d_args[0]):
            return d_args[0]
        return _decorator

    shim.jit = _identity_decorator
    shim.njit = _identity_decorator
    shim.vectorize = _identity_decorator
    shim.guvectorize = _identity_decorator
    shim.generated_jit = _identity_decorator
    shim.stencil = _identity_decorator

    np_module = types.SimpleNamespace()
    ufunc = types.SimpleNamespace()
    decorators = types.SimpleNamespace()
    decorators.vectorize = _identity_decorator
    decorators.guvectorize = _identity_decorator
    decorators.wrap = _identity_decorator
    ufunc.decorators = decorators
    np_module.ufunc = ufunc
    shim.np = np_module

    shim.config = types.SimpleNamespace()
    shim.core = types.SimpleNamespace()
    shim.core.decorators = types.SimpleNamespace()
    shim.core.decorators.jit = _identity_decorator

    sys.modules["numba"] = shim
    sys.modules["numba.np"] = types.SimpleNamespace(ufunc=types.SimpleNamespace(decorators=decorators))
    sys.modules["numba.np.ufunc"] = types.SimpleNamespace(decorators=decorators)
    sys.modules["numba.np.ufunc.decorators"] = decorators

# Parche opcional librosa.magphase
try:
    import librosa
    try:
        from librosa.core import spectrum
        librosa.magphase = getattr(spectrum, "magphase", None)
    except Exception:
        pass
except Exception:
    pass
PY

# Crear directorio de salida para checkpoints
RUN mkdir -p /tmp/output_model

# Copiar el proyecto
COPY . .

# Verificar instalación
RUN pip show TTS

# Exponer el puerto por el que Hugging Face espera respuesta
EXPOSE 8080

# Mantener el servidor vivo
# Usar el servidor HTTP de la librería estándar
# CMD ["python", "-m", "http.server", "7860"]
CMD ["python", "app_old.py"]