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from transformers import pipeline | |
import gradio as gr | |
pipe_fine = pipeline(model="zeihers-mart/whisper-small-swedish-basic") | |
pipe_raw = pipeline(model="openai/whisper-small") | |
def transcribe(audio): | |
text_sv = pipe_fine(audio)["text"] | |
print(f"Audio transcribed: {text_sv}") | |
text_raw= pipe_raw(audio)["text"] | |
print(f"Text translated: {text_raw}") | |
return text_sv, text_raw | |
iface = gr.Interface( | |
fn=transcribe, | |
inputs=gr.Audio(sources=["microphone"], type="filepath"), | |
outputs=[gr.Textbox(label="Fine-tuned transcription"), | |
gr.Textbox(label="Whisper Transcription")], | |
title="Finetuned Whisper Swedish Small", | |
description="Realtime demo for Swedish speech recognition using a fine-tuned Whisper small model.", | |
) | |
iface.launch() |