creo que ya

app.py

@@ -1,16 +1,16 @@
 import gradio as gr
 from transformers import pipeline
 
-pipeline = pipeline(model="DanielDBGC/my_awesome_lang_class_mind_model")
+pipeline = pipeline("audio-classification", model="DanielDBGC/my_awesome_lang_class_mind_model")
 
 def predict(input_sound):
     predictions = pipeline(input_sound)
-    return input_sound, {p["label"]: p["score"] for p in predictions} 
+    return {p["label"]: p["score"] for p in predictions} 
 
 gradio_app = gr.Interface(
     predict,
-    inputs=gr.Audio(label="Record or upload ", sources=['upload', 'microphone'], type = 'numpy'),
-    outputs=[gr.Audio(label="Processed Voice"), gr.Label(label="Result", num_top_classes=3)],
+    inputs=gr.Audio(label="Record or upload someone speaking!", sources=['upload', 'microphone'], type = 'numpy'),
+    outputs=[gr.Label(label="Result", num_top_classes=3)],
     title="Guess the language!",
 )