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()