Update app.py

app.py

@@ -1,4 +1,11 @@
+
+import gradio as gr
+from transformers import pipeline
+import torch
 import torchaudio
+import numpy as np
+
+device = "cuda:0" if torch.cuda.is_available() else "cpu"
 
 def transcribe(audio):
     # Extract the sample rate and audio data from the tuple
@@ -32,3 +39,12 @@ def transcribe(audio):
     
     prediction = pipe(audio_tensor)["text"]
     return prediction
+gradio_app = gr.Interface(
+    fn=transcribe,
+    inputs=gr.Audio(label="Input"),
+    outputs=gr.Textbox(label="Result"),
+    title="Transcribed",
+)
+
+if __name__ == "__main__":
+    gradio_app.launch()