| import gradio as gr | |
| from transformers import pipeline | |
| pipe = pipeline(model="pollitoconpapass/whisper-small-finetuned") | |
| def transcribe(audio): | |
| text = pipe(audio)["text"] | |
| return text | |
| iface = gr.Interface( | |
| fn=transcribe, | |
| inputs=gr.Audio(type="filepath"), | |
| outputs="text", | |
| title="Whisper Small Demo - Cuzco Quechua", | |
| description=''' | |
| Realtime demo of speech recognition fine-tuned using Whisper small model. New implementation: Quechua language. | |
| If you want to use this as an endpoint, go to endpoint.py. | |
| Source: https://huggingface.co/pollitoconpapass/whisper-small-finetuned | |
| ''' | |
| ) | |
| iface.launch() |