mcp-sentiment / app.py
Mustafa Nab
Add application files
5c94d18
import gradio as gr
from textblob import TextBlob
def sentiment_analysis(text: str) -> dict:
"""
Analyze the sentiment of a given text.
Args:
text (str): The input text to analyze.
Returns:
str: The sentiment of the text, either 'Positive', 'Negative', or 'Neutral'.
"""
blob = TextBlob(text)
sentiment = blob.sentiment
return {
"polarity": round(sentiment.polarity, 2), # -1 (negative) to 1 (positive)
"subjectivity": round(
sentiment.subjectivity, 2
), # 0 (objective) to 1 (subjective)
"assessment": (
"Positive"
if sentiment.polarity > 0
else "Negative" if sentiment.polarity < 0 else "Neutral"
),
}
demo = gr.Interface(
fn=sentiment_analysis,
inputs=gr.Textbox(placeholder="Enter text to analyze sentiment..."),
outputs=gr.JSON(),
title="Sentiment Analysis",
description="Analyze the sentiment of a given text using TextBlob.",
)
if __name__ == "__main__":
demo.launch(mcp_server=True)