Update Dockerfile

Dockerfile

@@ -1,19 +1,21 @@
-FROM python:3.11-slim
+FROM python:3.11
 
-# Configurar paths
-WORKDIR /home/user/app
-ENV HF_HOME="/home/user/.cache/huggingface"
-ENV PYTHONUNBUFFERED=1
-ENV NUMBA_CACHE_DIR=/tmp/numba_cache
-ENV NUMBA_DISABLE_CACHING=1
-ENV OMP_NUM_THREADS=1
-
-# Instalar dependencias del sistema
+# Instalar dependencias básicas
 RUN apt-get update && apt-get install -y \
     git wget ffmpeg libsndfile1 unzip build-essential \
     && rm -rf /var/lib/apt/lists/*
 
-# Clonar e instalar Coqui TTS v0.22 en modo editable (con train y recipes)
+# Configurar Hugging Face cache y variables de entorno
+ENV HF_HOME=/home/user/.cache/huggingface
+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}
+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 \
@@ -24,12 +26,7 @@ RUN git clone --branch v0.22.0 https://github.com/coqui-ai/TTS.git /home/user/TT
 COPY requirements.txt .
 RUN pip install --no-cache-dir -r requirements.txt
 
-# Crear carpeta de salida
-RUN mkdir -p /tmp/output_model
-
-# Copiar el proyecto
+# Copiar el script de fine-tuning y dataset
 COPY . .
 
-# Script de entrenamiento
 CMD ["python", "finetune_xtts_hf.py"]
-