app: usar load_dataset

app.py

@@ -3,10 +3,12 @@ import torch
 import gradio as gr
 from huggingface_hub import InferenceClient
 from model import model_params, AudioDataset
+from datasets import load_dataset
 
+# dataset_path = "data/baby_cry_detection" # PARA MONITOR
+# dataset_path = "data/mixed_data_nuevo" # PARA CLASIFICADOR
 token = os.getenv("HF_TOKEN")
-dataset_path = f"A-POR-LOS-8000/baby_cry_detection" # PARA MONITOR
-# dataset_path = f"data/mixed_data_nuevo" # PARA CLASIFICADOR
+dataset_path = load_dataset("A-POR-LOS-8000/baby_cry_detection") # PARA MONITOR
 model, _, _, id2label = model_params(dataset_path)
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")# Usar a GPU o CPU
 model.to(device)# Usar a GPU o CPU