app.py

from transformers import pipeline
import gradio as gr

model_checkpoint = "MuntasirHossain/RoBERTa-base-finetuned-emotion"
model = pipeline("text-classification", model=model_checkpoint)

def classify(text):
    label = model(text)[0]["label"]
    return label

description = "This AI model is trained to classify texts expressing human emotion into six categories: sadness, joy, love, anger, fear, and surprise." 
title = "Classify Texts Expressing Emotion"
examples = [["This is such a beautiful place"]]

iface = gr.Interface(
    fn=classify,
    inputs=gr.Textbox(),
    outputs=gr.Label(),
    title=title,
    description=description,
    examples=examples,
)

iface.launch()