Update app.py

app.py

@@ -1,7 +1,22 @@
 import gradio as gr
+from transformers import pipeline
+import numpy as np
 
-def greet(name):
-    return "Hello " + name + "!!"
+transcriber = pipeline("automatic-speech-recognition", model="openai/whisper-base")
+
+def transcribe(audio):
+    sr, y = audio
+    y = y.astype(np.float32)
+    y /= np.max(np.abs(y))
+
+    return transcriber({"sampling_rate": sr, "raw": y})["text"]
+
+gr.Label("Demo CORFO")
+demo = gr.Interface(
+    transcribe,
+    gr.Audio(sources=["microphone"]),
+    "text",
+)
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
 demo.launch()
+