Update app.py

app.py

@@ -1,11 +1,14 @@
 import gradio as gr
 from transformers import pipeline
 
-pipe = pipeline(task="image-classification", 
-                 # model that can do 22k-category classification
-                 model="microsoft/beit-base-patch16-224-pt22k-ft22k")
-gr.Interface.from_pipeline(pipe, 
-                           title="22k Image Classification",
-                           description="Object Recognition using Microsoft BEIT",
-                           examples = ['wonder_cat.jpg', 'aki_dog.jpg',],
-                           allow_flagging="never").launch(inbrowser=True)
+# Define the pipeline for speech recognition with the NeMo Canary model
+pipe = pipeline(
+    task="automatic-speech-recognition", 
+    model="nvidia/canary-1b"
+)
+
+# Create a Gradio interface from the pipeline
+interface = gr.Interface.from_pipeline(pipe, inputs="microphone", outputs="text")
+
+# Launch the interface
+interface.launch()