File size: 486 Bytes
cd812d6 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 |
from transformers import pipeline
import gradio as gr
pipe = pipeline(model="Sandrian/whisper-small-id-sandy") # 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(type="filepath"),
outputs="text",
title="Indonesian Small Whisper",
description="Demo for Indonesian speech recognition using a fine-tuned Whisper small model.",
)
iface.launch()
|