Update Dockerfile

Dockerfile

@@ -1,34 +1,36 @@
-# Use a more recent and supported base image
+# Usa uma imagem base mais recente e suportada
 FROM python:3.9-slim-bookworm
 
-# Set the working directory
+# Define o diretório de trabalho
 WORKDIR /app
 
-# --- STEP 1: INSTALL GIT AND CLONE YOUR DATASET ---
+# --- ETAPA 1: INSTALAR O GIT E CLONAR O SEU DATASET COMPLETO ---
 RUN apt-get update && apt-get install -y git git-lfs && git-lfs install
 RUN git clone https://huggingface.co/spaces/Finish-him/prometheus-embedding-generator ./dados && cd dados && git lfs pull
 
-# --- STEP 2: SET UP PYTHON ENVIRONMENT & PRE-WARM CACHE ---
+# --- ETAPA 2: CONFIGURAR O AMBIENTE PYTHON E PRÉ-AQUECER O CACHE ---
 COPY requirements.txt .
 RUN pip install --no-cache-dir --upgrade -r requirements.txt
 
-# Define cache path
+# Define o caminho da cache
 ENV HF_HOME=/app/cache/huggingface
 ENV SENTENCE_TRANSFORMERS_HOME=/app/cache/torch
 RUN mkdir -p $HF_HOME && mkdir -p $SENTENCE_TRANSFORMERS_HOME
 
-# Pre-warm the cache with the e5-large model
+# Pré-aquece o cache com o modelo e5-large
 RUN python -c "import os; from sentence_transformers import SentenceTransformer; SentenceTransformer('intfloat/multilingual-e5-large', cache_folder=os.environ.get('SENTENCE_TRANSFORMERS_HOME', '/app/cache/torch'))"
 
-# --- STEP 3: PREPARE RUN DIRECTORIES & COPY SCRIPT ---
+# --- ETAPA 3: PREPARAR DIRETÓRIOS E COPIAR SCRIPT ---
 
-# *** THE FIX IS HERE ***
-# Create the extraction directory and give the default user (1000) ownership
-RUN mkdir -p /app/dados_extraidos && chown -R 1000:1000 /app/dados_extraidos && chown -R 1000:1000 /app/cache
+# *** A CORREÇÃO ESTÁ AQUI ***
+# Cria os diretórios necessários e dá permissão ao usuário padrão (1000)
+RUN mkdir -p /app/dados_extraidos && \
+    mkdir -p /app/output && \
+    chown -R 1000:1000 /app/dados_extraidos /app/output /app/cache
 
-# Copy the training script
+# Copia o script de treinamento
 COPY train.py .
 
-# --- STEP 4: RUN THE SCRIPT ---
-# Execute the script and keep the container alive afterward
+# --- ETAPA 4: EXECUTAR O SCRIPT ---
+# Executa o script e, após o término, mantém o contêiner a correr.
 CMD ["sh", "-c", "python train.py && sleep infinity"]