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()