Update app.py

app.py

@@ -1,8 +1,22 @@
-from transformers import pipeline
+import os
 
-with open("mlk.flac", "rb") as f:
-  data = f.read()
+import numpy as np
 
-pipe = pipeline("automatic-speech-recognition", "openai/whisper-large-v2")
-pipe("mlk.flac")
-# {'text': "GOING ALONG SLUSHY COUNTRY ROADS AND SPEAKING TO DAMP AUDIENCES IN DRAUGHTY SCHOOL ROOMS DAY AFTER DAY FOR A FORTNIGHT HE'LL HAVE TO PUT IN AN APPEARANCE AT SOME PLACE OF WORSHIP ON SUNDAY MORNING AND HE CAN COME TO US IMMEDIATELY AFTERWARDS"}
+import gradio as gr
+
+
+def reverse_audio(audio):
+    sr, data = audio
+    return (sr, np.flipud(data))
+
+
+demo = gr.Interface(fn=reverse_audio, 
+                    inputs="microphone", 
+                    outputs="audio", 
+                    examples=[
+                    "https://samplelib.com/lib/preview/mp3/sample-3s.mp3",
+                    os.path.join(os.path.dirname(__file__), "audio/recording1.wav")
+        ], cache_examples=True)
+
+if __name__ == "__main__":
+    demo.launch()