app.py

import gradio as gr
from transformers import pipeline

model_id = "nvidia/canary-1b"  # update with your model id
pipe = pipeline("automatic-speech-recognition", model=model_id)

def transcribe_speech(filepath):
    output = pipe(
        filepath,
        max_new_tokens=256,
        generate_kwargs={
            "task": "transcribe",
            "language": "english",
        },  # update with the language you've fine-tuned on
        chunk_length_s=30,
        batch_size=8,
    )
    return output["text"]

demo = gr.Interface(fn=transcribe_speech, inputs=gr.Audio(sources=["microphone"]), outputs="text")

demo.launch()