Update app.py

app.py

@@ -1,5 +1,6 @@
 import gradio as gr
 from transformers import Wav2Vec2ForCTC, Wav2Vec2Processor
+import torch
 
 # Load the pre-trained model and processor
 model_name = "facebook/s2t-wav2vec2-large-en-ar"
@@ -18,7 +19,7 @@ def transcribe(audio):
     return transcription
 
 # Define the Gradio interface
-interface = gr.Interface(fn=transcribe, inputs=gr.Audio(source="microphone", type="numpy"), outputs="text")
+interface = gr.Interface(fn=transcribe, inputs=gr.Audio(type="numpy"), outputs="text")
 
 # Launch the Gradio interface
 interface.launch()