| from transformers import pipeline | |
| import gradio as gr | |
| import time | |
| p = pipeline("automatic-speech-recognition") | |
| def transcribe(audio, state=""): | |
| time.sleep(2) | |
| text = p(audio)["text"] # type: ignore | |
| state += text + " " | |
| return state, state | |
| demo = gr.Interface( | |
| fn=transcribe, | |
| inputs=[ | |
| gr.Audio(sources=["microphone"], type="filepath", streaming=True), | |
| "state" | |
| ], | |
| outputs=[ | |
| "textbox", | |
| "state" | |
| ], | |
| live=True | |
| ) | |
| if __name__ == "__main__": | |
| demo.launch() | |