Update Gradio/app.py

Gradio/app.py

@@ -19,11 +19,11 @@ Model = "kingabzpro/wav2vec2-large-xls-r-300m-Urdu"
 
 ############## Inference ##############################
 
-
+device = 0 if torch.cuda.is_available() else "cpu"
 def asr(audio):
 
     asr = pipeline("automatic-speech-recognition", model=Model)
-    prediction = asr(audio, chunk_length_s=5, stride_length_s=1)
+    prediction = asr(audio, chunk_length_s=30, device=device)
     return unicodedata.normalize("NFC",prediction["text"])
 
 
@@ -50,11 +50,10 @@ examples = [["Sample/sample1.mp3"], ["Sample/sample2.mp3"], ["Sample/sample3.mp3
 Input = gr.inputs.Audio(
     source="microphone",
     type="filepath",
-    optional=True,
     label="Please Record Your Voice",
 )
 Output = gr.outputs.Textbox(label="Urdu Script")
-
+inputs= gr.Audio(source="microphone", type="filepath", streaming=True), 
 
 def main():
     iface = gr.Interface(