mcp-sentiment / app.py
Jose R. Ziviani
Initial commit
81adb45
raw
history blame contribute delete
989 Bytes
import gradio as gr
from textblob import TextBlob
def sentiment_analysis(text: str) -> dict:
"""
Analyze the sentiment of the given text using TextBlob.
Args:
text (str): The input text to analyze.
Returns:
dict: A dictionary containing the polarity, subjectivity, and assessment of the sentiment.
"""
blob = TextBlob(text)
sentiment = blob.sentiment
return {
"polarity": round(sentiment.polarity, 2), # -1 (neg) to 1 (pos)
"subjectivity": round(sentiment.subjectivity, 2), # 0 (obj) to 1 (subj)
"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..."),
outputs=gr.JSON(),
title="Sentiment Analysis",
description="Analyze the sentiment of a given text using TextBlob.",
)
if __name__ == "__main__":
demo.launch(mcp_server=True)