app.py

import gradio as gr
from transformers import pipeline
import numpy

pipe = pipeline(task="audio-classification", model="Rajaram1996/Hubert_emotion")

gr.Interface.from_pipeline(pipe,
                           title="Audio Emotion Classification",
                           description="It will predict the mix of emotions present in the audio file",
                           inputs = gr.inputs.Audio(source="upload", type="numpy"),
                           outputs = gr.outputs.Label(num_top_classes=5),
                           allow_flagging="never"
                           ).launch(inbrowser=True)