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| from transformers import pipeline | |
| import gradio as gr | |
| import time | |
| modelo = pipeline("automatic-speech-recognition", model = "facebook/wav2vec2-large-xlsr-53-spanish") | |
| def transcribe(audio): | |
| time.sleep(2) | |
| text = modelo(audio)["text"] | |
| return text | |
| gr.Interface( | |
| fn=transcribe, | |
| inputs=[ | |
| gr.Audio(source="microphone", type="filepath") | |
| ], | |
| outputs=[ | |
| "textbox", | |
| ], | |
| live=True,).launch(share=True) |