app.py

import gradio as gr
import time

def ser(audio):
    temp_df = pd.DataFrame(columns=(['wav_file','label']))
    temp_df.loc[0,'wav_file'] = audio
    temp_df['label'] = 'unknow'
    label,probs,scores = model_1.predict_df(temp_df)
    return scores

ser_record = gr.Interface(
    fn=ser, 
    title=None,
    inputs= gr.Audio(source="microphone", type="filepath"), 
    interactive = True,
    outputs="label",
    description='Record audio')


ser_upload = gr.Interface(
    fn=ser,
    title=None,
    inputs= gr.Audio(source="upload", type="filepath"), 
    interactive = True,
    examples=ser_examples,
    outputs="label",
    description='Upload audio')

app = gr.TabbedInterface([ser_record, ser_upload], tab_names= ["Record audio", "Upload audio"])
app.launch()