| import gradio as gr | |
| from transformers import pipeline | |
| pipe = pipeline( | |
| "automatic-speech-recognition", | |
| model="jonatasgrosman/wav2vec2-large-xlsr-53-portuguese" | |
| ) | |
| def transcribe(audio): | |
| text = pipe(audio)["text"] | |
| return text | |
| iface = gr.Interface( | |
| fn=transcribe, | |
| inputs=gr.Audio(sources=["upload"], type="filepath", label="Carregue o áudio"), | |
| outputs="text", | |
| title="Aplicativo de Reconhecimento de Fala", | |
| description="Carregue um arquivo de áudio para transcrever sua fala.", | |
| ) | |
| iface.launch(share=True) |