| import gradio as gr | |
| from transformers import pipeline | |
| # Define the full path to the NeMo Canary model | |
| model_name = "nvidia/canary-1b" | |
| # Define the pipeline for speech recognition with the NeMo Canary model | |
| pipe = pipeline( | |
| task="automatic-speech-recognition", | |
| model=model_name | |
| ) | |
| # Create a Gradio interface from the pipeline | |
| interface = gr.Interface.from_pipeline(pipe, inputs="microphone", outputs="text") | |
| # Launch the interface | |
| interface.launch() | |