app.py

from transformers import pipeline
import gradio as gr

pipe = pipeline(model="deepakkumar07/whisper-small-tamil")  # change to "your-username/the-name-you-picked"

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

iface = gr.Interface(
    fn=transcribe, 
    inputs=gr.Audio(sources=["microphone", "upload"], type="filepath"), 
    outputs="text",
    title="Whisper Small Tamil",
    description="Realtime demo for Tamil speech recognition using a fine-tuned Whisper small model.",
)
if __name__ == "__main__":
    iface.launch()