app.py

from transformers import pipeline
import gradio as gr

pipe = pipeline(model="divakaivan/glaswegian-asr")

def transcribe(audio):
    print(audio)
    print(type(audio))
    text = pipe(audio)["text"]
    return text

iface = gr.Interface(
    fn=transcribe,
    inputs=gr.Audio(type="filepath"),
    outputs="text",
    title="Whisper Small Glaswegian",
    description="Realtime demo for Glaswegian speech recognition using a fine-tuned Whisper small model.",
)

iface.launch(share=True)