| import gradio as gr | |
| from transformers import pipeline | |
| model = pipeline(task="automatic-speech-recognition", | |
| model="facebook/s2t-medium-librispeech-asr") | |
| def predict_speech_to_text(audio): | |
| prediction = model(audio) | |
| text = prediction['text'] | |
| return text | |
| gr.Interface(fn=predict_speech_to_text, | |
| title="🧑🏽🎤 PROLOVE 🥰😘 ", | |
| inputs=gr.inputs.Audio( | |
| source="microphone", type="filepath", label="Input"), | |
| outputs=gr.outputs.Textbox(label="Output"), | |
| description="Using pipeline with Facebook S2T for ASR.", | |
| examples=['ljspeech.wav'], | |
| allow_flagging='never' | |
| ).launch() |