| from transformers import pipeline | |
| import gradio as gr | |
| modelo = pipeline("automatic-speech-recognition", "facebook/wav2vec2-large-xlsr-53-spanish") | |
| def transcribe(audio): | |
| text = modelo(audio)["text"] | |
| return text | |
| # Crear la interfaz de Gradio | |
| gr.Interface( | |
| fn=transcribe, | |
| inputs=gr.Audio(type="filepath"), | |
| outputs="text" | |
| ).launch() |