from transformers import pipeline | |
import gradio as gr | |
pipe = pipeline(model="haouarin/whisper-small-daridja") | |
def transcribe(audio): | |
text = pipe(audio)["text"] | |
return text | |
iface = gr.Interface( | |
fn=transcribe, | |
inputs=gr.Audio(source="microphone", type="filepath"), | |
outputs="text", | |
title="Whisper Algerien Daridja ", | |
description="Realtime demo for Algerien Daridja Speech Recognition using a fine-tuned Whisper small model.", | |
) | |
iface.launch() |