Dockerfile

FROM python:3.11

# Instalar dependencias básicas
RUN apt-get update && apt-get install -y \
    git wget ffmpeg libsndfile1 unzip build-essential \
    && rm -rf /var/lib/apt/lists/*

ENV GIT_AUTHOR_NAME="sob111"
ENV GIT_AUTHOR_EMAIL="[email protected]"
ENV GIT_COMMITTER_NAME="sob111"
ENV GIT_COMMITTER_EMAIL="[email protected]"

# Configurar Hugging Face cache y variables de entorno

ENV HOME="/home/user"
ENV HF_HOME=/tmp/hf_cache
ENV TRANSFORMERS_CACHE=/tmp/hf_cache
ENV HF_HUB_CACHE=/tmp/hf_cache
ENV OMP_NUM_THREADS=1
ENV NUMBA_CACHE_DIR=/tmp/numba_cache
ENV NUMBA_DISABLE_CACHING=1

# Crear carpetas necesarias
RUN mkdir -p /home/user/app /tmp/output_model ${HF_HOME}
RUN mkdir -p /home/user/app/xtts_model /home/user/app/output
RUN mkdir -p /home/user/app/xtts_model /home/user/app/output /tmp/huggingface \
    && chmod -R 777 /home/user/app/xtts_model /home/user/app/output /tmp/huggingface
WORKDIR /home/user/app

# Instalar Coqui TTS desde GitHub (incluyendo binarios de entrenamiento)
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 --upgrade pip \
    && pip install --no-cache-dir -e .

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

# Copiar el script de fine-tuning y dataset
COPY . .

# CMD ["python", "finetune_xtts_hf.py"]
CMD ["python", "app.py"]