File size: 977 Bytes
98bf911
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
import gradio as gr
from textblob import TextBlob


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

    Args:
        text (str): The text to analyze

    Returns:
        dict: A dictionary containing polarity, subjectivity and assesment

    """

    blob = TextBlob(text)
    sentiment = blob.sentiment


    return {
        "polarity": round(sentiment.polarity, 2),  #[-1 (Negative), 1 (Positive)]
        "subjectivity": round(sentiment.subjectivity, 2), #[0 (objective),1(subjective)]
        "assement": "positive" if sentiment.polarity >0 else "negative" if sentiment.polarity<0 else "neutral"
    }

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


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