app.py

from transformers import pipeline
import gradio as gr

pipe = pipeline(model="nvbAI/whisper-small-hindi")  

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

iface = gr.Interface(
    fn=transcribe, 
    inputs=gr.inputs.File(type="file"),
    outputs="text",
    title="Whisper Small Hindi",
    description="Hindi speech recognition using a fine-tuned Whisper small model on CVoice 13",
)

iface.launch(share=True)