| from transformers import pipeline | |
| import gradio as gr | |
| pipe = pipeline(model="Ussen/whisper-medium-swc-drc-kat-1") | |
| def transcribe(audio): | |
| text = pipe(audio)["text"] | |
| return text | |
| iface = gr.Interface( | |
| fn=transcribe, | |
| inputs=gr.Audio(source="microphone", type="filepath"), | |
| outputs="text", | |
| title="Core23lab", | |
| description="Record, then click 'Submit' for transcription.", | |
| ) | |
| iface.launch() |