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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 assessment | |
""" | |
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) | |
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" | |
) | |
# Launch the interface and MCP server | |
if __name__ == "__main__": | |
demo.launch(mcp_server=True) |