| from transformers import pipeline | |
| import gradio as gr | |
| import time | |
| pipe = pipeline("automatic-speech-recognition", model="Artanis1551/whisper_romanian3") | |
| def transcribe(audio, state=""): | |
| text = pipe(audio)["text"] | |
| state += text + " " | |
| return state, state | |
| gr.Interface( | |
| title="Romanian Speech Transcription", | |
| fn=transcribe, | |
| inputs=[gr.Audio(source="microphone", type="filepath", streaming=True), "state"], | |
| outputs=["textbox", "state"], | |
| live=True, | |
| ).launch() | |