app.py

from transformers import pipeline
import gradio as gr
pipe = pipeline(model="pchopalli/whisper-small-or")

def transcribe(audio):
    text = pipe(audio)["text"]
    return text

demo = gr.Interface(
    fn=transcribe,
    inputs=gr.Audio(type="filepath"),
    outputs="text",
    title="Whisper Small Oriya",
    description="Demo for Oriya speech recognition by fine-tuning a Whisper small model.",
)

demo.launch(share=True)