whisper.py

from transformers import pipeline
import gradio as gr

pipe = pipeline(model="ehzawad/whisper-tiny-bn") 

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

iface = gr.Interface(
    fn=transcribe, 
    inputs=gr.Audio(source="microphone", type="filepath"), 
    outputs="text",
    title="Whisper Tiny Bengali Model Inference",
    description="Realtime demo for Bengali speech recognition using a fine-tuned Whisper tiny model.",
)

iface.launch(share=True)

pip install --user transformers
pip install --user gradio