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# Code adapted from: https://gradio.app/demos/
import gradio as gr
from transformers import pipeline
import numpy as np
transcriber = pipeline("automatic-speech-recognition", model="bartelds/gos-gpu6-cp1_adp0_192m_no_test_1e-5_cp-12000")
def transcribe(audio):
sr, y = audio
y = y.astype(np.float32)
y /= np.max(np.abs(y))
return transcriber({"sampling_rate": sr, "raw": y})["text"]
demo = gr.Interface(
transcribe,
gr.Audio(source="upload"),
"text",
title="Speech-to-text for Gronings",
description="Upload an audio file (in 16 kHz) with Gronings speech to obtain its transcription. Example files are in our [gos-demo](https://huggingface.co/datasets/bartelds/gos-demo) dataset."
)
demo.launch()
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