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from transformers import pipeline
import gradio as gr
pipe = pipeline(model="Gbssreejith/whisper-small-ml") # 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", type="filepath",format="wav"),
outputs="text",
title="Whisper Small ml",
description="Realtime demo for malayalam speech recognition using a fine-tuned Whisper small model.",
)
iface.launch(share=True)
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