| # import gradio as gr | |
| # | |
| # gr.Interface.load("models/MIT/ast-finetuned-audioset-10-10-0.4593").launch() | |
| import gradio as gr | |
| from test import request_api | |
| import sys | |
| import warnings | |
| from fastapi import FastAPI | |
| # ignore UserWarning | |
| warnings.simplefilter("ignore", UserWarning) | |
| from test import request_api | |
| title = "MIT-AST test" | |
| description = "An audio event classifier trained on the AudioSet dataset to predict audio events from the AudioSet ontology." | |
| demo = gr.Interface( | |
| request_api, | |
| inputs=[ | |
| gr.inputs.Audio(type="filepath"), | |
| ], | |
| outputs=['text'], | |
| # examples=examples, | |
| title=title, | |
| description=description, | |
| allow_flagging='never' | |
| ) | |
| demo.launch(enable_queue=True, show_error=True, share=False) | |