# 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)