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| from transformers import pipeline | |
| p = pipeline("automatic-speech-recognition") | |
| import gradio as gr | |
| import time | |
| def transcribe(audio, state=""): | |
| time.sleep(3) | |
| text = p(audio)["text"] | |
| state += text + " " | |
| return state, state | |
| # embedded 'Record' may not work hence use 'https://39357.gradio.app'. In an external browser, speak and you will get the text output | |
| ST_ASR_demo = gr.Interface( | |
| fn=transcribe, | |
| inputs=[ | |
| gr.inputs.Audio(source="microphone", type="filepath"), | |
| 'state' | |
| ], | |
| outputs=[ | |
| "textbox", | |
| "state" | |
| ], | |
| title = 'Real-Time Speech Transcription', description = 'Speak something, you will get the text as an output', | |
| live=True)#.launch(inline = False) | |