| from transformers import pipeline | |
| import gradio as gr | |
| import time | |
| pipe = pipeline("automatic-speech-recognition", model="Artanis1551/whisper_romanian3") | |
| def transcribe(rec=None, state=""): | |
| if rec is not None: | |
| audio = rec | |
| text = pipe(audio)["text"] | |
| state += text + ". " | |
| else: | |
| text = "" | |
| return text, state | |
| iface = gr.Interface( | |
| fn=transcribe, | |
| inputs=[gr.Audio(source="microphone", type="filepath", streaming=True), "state"], | |
| outputs=["text", "state"], | |
| title="Romanian Transcription Test", | |
| live=True, | |
| ) | |
| iface.launch() | |