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| from transformers import pipeline | |
| import gradio as gr | |
| modelo = pipeline("automatic-speech-recognition", model = "facebook/wav2vec2-large-xlsr-53-spanish") | |
| title = "Speech2Text (Spanish)" | |
| description = "Record an audio and convert it to text (Spanish)" | |
| def transcribe(audio): | |
| text = modelo(audio)["text"] | |
| return text | |
| gr.Interface( | |
| fn = transcribe, | |
| inputs = [gr.Audio(source="microphone", type = "filepath")], | |
| outputs = ["textbox"], | |
| title = title, | |
| description = description | |
| ).launch() |