Update app.py

app.py

@@ -1,15 +1,15 @@
 from transformers import pipeline
 import gradio as gr
 
-modelo=pipeline("automatic-speech-recognition",model="facebook/wav2vec2-large-xlsr-53-spanish")
+model = pipeline("automatic-speech-recognition", model="facebook/wav2vec2-large-xlsr-53-spanish")
 
 def transcribe(audio):
-    text=modelo(audio)["texto"]
-    return text
+  text = model(audio)["text"]
+  return text
 
 gr.Interface(
     fn=transcribe,
-    inputs=[gr.Audio(source=["microphone"],type="filepath")],
+    inputs=[gr.Audio(sources=["microphone"], type="filepath")],
     outputs=["textbox"],
-    title="Voice To Text"
-  ).launch()
+    title="Audios cortos a texto"
+).launch()