File size: 568 Bytes
67cefec
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
import gradio as gr
from transformers import pipeline

sentimentPipeline = pipeline('sentiment-analysis')

def analyze_sentiment(text):
    result = sentimentPipeline(text)
    return f"Sentiment: {result[0]['label']}, Confidence: {result[0]['score']:.2f}"

app = gr.Interface(
    fn = analyze_sentiment,
    inputs =gr.Textbox(lines = 5, placeholder = "Enter your text here:"),
    outputs = "text",
    title="Sentiment Analysis Tool",
    description = "Sentiment Analysis Tool which helps you to analysis input tone"
)

if __name__ == "__main__":
    app.launch()