app.py

import gradio as gr
from transformers import pipeline

def generate_story(story):
    ner = pipeline("text-classification", model="SamLowe/roberta-base-go_emotions")
    return str(ner(story))

demo = gr.Interface (
    fn=generate_story,
    description="Sentiment analysis multi-class with (SamLowe/roberta-base-go_emotions",
    examples=[
        ["I am looking forward to a good maths session."],
        ["Good that they broke up, not like it was going anywhere anyways."],
        ["I am going to punch through his face next time he mentions notes!"]
    ],
    inputs=[gr.Textbox(lines=7, label="Text")],
    outputs=[gr.Textbox(lines=7, label="Multiclass Sentiment Analysis")]
)

demo.launch(share=True)