Update app.py

app.py

@@ -1,9 +1,8 @@
 import gradio as gr
-import torch
 from transformers import pipeline
 
-# Load the NeMo Canary ASR model pipeline from Hugging Face
-asr_pipeline = pipeline("speech-recognition", model="nvidia/canary-1b")
+# Load the default speech recognition model pipeline from Hugging Face
+asr_pipeline = pipeline("automatic-speech-recognition")
 
 # Define a Gradio interface to listen to microphone input and display the transcribed text
 def transcribe_audio():
@@ -18,6 +17,6 @@ gr.Interface(
     fn=transcribe_audio,
     inputs=gr.inputs.Microphone(label="Speak into the microphone"),
     outputs="text",
-    title="Speech-to-Text with NeMo Canary Model",
+    title="Speech-to-Text with Default Model",
     description="Speak into the microphone and see the text transcription.",
 ).launch()