| from transformers import pipeline | |
| import gradio as gr | |
| pipe = pipeline(model="SaladSlayer00/another_local") | |
| def transcribe(rec=None, file=None): | |
| if rec is not None: | |
| audio = rec | |
| elif file is not None: | |
| audio = file | |
| else: | |
| return "Provide a recording or a file." | |
| text = pipe(audio)["text"] | |
| return text | |
| iface = gr.Interface( | |
| fn=transcribe, | |
| inputs=[ | |
| gr.Audio(type="filepath") | |
| ], | |
| outputs="text", | |
| title="Whisper Small Italian", | |
| description="Realtime demo for Italian speech recognition using a fine-tuned Whisper model.", | |
| ) | |
| iface.launch() |