app.py

import gradio as gr
from transformers import pipeline


def sentiment_analysis(text:str)->str:
    analysis_tools = pipeline("text-classification", model = "boltuix/bert-emotion",device=0)
    result = analysis_tools(text)
    
    return f"the label: {result[0]['label']} and the score: {result[0]['score']}"
    


demo = gr.Interface(fn = sentiment_analysis,
                    inputs=['text'],
                    outputs = ['text'],
                    title="Emotion Detection",
                    description="Based on the bert-emotion to detect the emotion in your text",
                    examples=[
                        ['I hate you'],
                        ['You are so kind'],
                        ['我想我们可以在一起']
                    ]
                    )

demo.launch()