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app.py

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+from transformers import pipeline
+import gradio as gr
+import time
+
+modelo = pipeline("automatic-speech-recognition", model = "facebook/wav2vec2-large-xlsr-53-spanish")
+
+def transcribe(audio):
+    time.sleep(2)
+    text = modelo(audio)["text"]
+    return text
+
+gr.Interface(
+    fn=transcribe, 
+    inputs=[
+        gr.Audio(source="microphone", type="filepath")
+    ],
+    outputs=[
+        "textbox",
+    ],
+    live=True,).launch(share=True)