Update app.py

Transcribe func fixed

app.py

@@ -2,15 +2,18 @@ import gradio as gr
 import time
 from transformers import pipeline
 
-cls = pipeline('automatic-speech-recognition',model = "openai/whisper-tiny")
+transcriber = pipeline('automatic-speech-recognition',model = "openai/whisper-tiny")
 
 def transcribe(audio):
-  transcript = cls(audio)
-  return transcript['text']
+    sr, y = audio
+    y = y.astype(np.float32)
+    y /= np.max(np.abs(y))
+
+    return transcriber({"sampling_rate": sr, "raw": y})["text"]
 
 demo = gr.Interface(
     transcribe,
     gr.Audio(sources=["microphone"]),
-        "textbox"
+    "text"
     )
 demo.launch()