Update app.py

app.py

@@ -1,14 +1,13 @@
 import gradio as gr
 from transformers import TimeSeriesTransformerForPrediction, TimeSeriesTransformerConfig
 import torch
-import pandas as pd
 import numpy as np
 
 # Carregar configuração
 config = TimeSeriesTransformerConfig.from_pretrained("google/timesfm-2.0-500m-pytorch")
 config.prediction_length = 3
 config.context_length = 12
-config.lags_sequence = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]  # Ajuste os lags para serem menores ou iguais ao context_length
+config.lags_sequence = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]  # Lags menores que context_length
 
 # Carregar modelo com a configuração ajustada
 model = TimeSeriesTransformerForPrediction.from_pretrained(