app.py

from transformers import pipeline
import gradio as gr

pipe = pipeline(model="ZinebSN/whisper-small-swedish-Test-3000")  # change to "your-username/the-name-you-picked"

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

iface = gr.Interface(
    fn=transcribe, 
    inputs=gr.Audio(source="microphone", type="filepath"),
            #gr.Text(label="URL (YouTube, etc.)"),
            #gr.Audio(source="upload", type="filepath", label="Upload Audio")],
    
    outputs="text", 
             
    title="Whisper Small Swedish",
    description="Realtime demo for Swedish speech recognition using a fine-tuned Whisper small model.",
)

iface.launch()