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from transformers import pipeline | |
import gradio as gr | |
pipe = pipeline(model="MaximilianChen/Casper") | |
def transcribe(audio): | |
text = pipe(audio)["text"] | |
return text | |
iface = gr.Interface( | |
fn=transcribe, | |
inputs=[ | |
gr.Audio(label="Upload Speech", source="upload", type="numpy"), | |
gr.Audio(label="Record Speech", source="microphone", type="numpy"), | |
], | |
outputs="text", | |
title="Casper", | |
description="Realtime demo for Catalan speech recognition using a fine-tuned Whisper small model.", | |
) | |
iface.launch() |