app.py

from transformers import pipeline
import gradio as gr

pipe = pipeline(model="SharatChandra/whisper-fine-banking-dataset")  # change to "your-username/the-name-you-picked"

def transcribe(audio):
    text = pipe(audio, generate_kwargs  = {"task":"translate", "language":"english"})["text"]
    return text

iface = gr.Interface(
    fn=transcribe,
    inputs=gr.Audio(type="filepath"),
    outputs="text",
    title="Whisper Medium Bank Domain",
    description="Realtime demo for Banking Domain speech recognition using a fine-tuned Whisper medium model.",
)

iface.launch()