File size: 1,013 Bytes
ce43927
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
import json

import gradio as gr
from textblob import TextBlob


def sentiment_analysis(text: str) -> str:
    """
    Analyze the sentiment of the given text.

    Args:
        text (str): The text to analyze

    Returns:
        str: A JSON string containing polarity, subjectivity, and assessment
    """
    blob = TextBlob(text)
    sentiment = blob.sentiment
    result = {
        "polarity": round(sentiment.polarity, 2),
        "subjectivity": round(sentiment.subjectivity, 2),
        "assessment": (
            "positive"
            if sentiment.polarity > 0
            else "negative" if sentiment.polarity < 0 else "neutral"
        ),
    }
    return json.dumps(result)


# Gradio interface
demo = gr.Interface(
    fn=sentiment_analysis,
    inputs=gr.Textbox(placeholder="Enter text to analyze..."),
    outputs=gr.Textbox(),
    title="Text Sentiment Analysis",
    description="Analyze the sentiment of text using TextBlob",
)

if __name__ == "__main__":
    demo.launch(mcp_server=True)