| import gradio as gr | |
| from transformers import pipeline | |
| p = pipeline("automatic-speech-recognition", model="techiaith/wav2vec2-xlsr-ft-cy", decoder = "Wav2Vec2ProcessorWithLM") | |
| def transcribe(audio): | |
| text = p(audio)["text"] | |
| return text | |
| demo = gr.Interface( | |
| transcribe, | |
| gr.Audio(sources=["microphone"], type="filepath"), | |
| "text", | |
| ) | |
| demo.launch() | |