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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 assesment
"""
blob = TextBlob(text)
sentiment = blob.sentiment
result = {
"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"
}
return json.dumps(result)
# Create the Gradio interface
demo = gr.Interface(
fn = sentiment_analysis,
inputs = gr.Textbox(placeholder="Enter text to analyze..."),
outputs = gr.Textbox(), # Changed from gr.JSON() to gr.Textbox()
title = "Text Sentiment Analysis",
description = "Analyze the sentiment of the text using TextBlob"
)
# Launch the interface and MCP server
if __name__ == "__main__":
demo.launch(mcp_server=True)
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