mcp-sentiment / app.py
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Create app.py
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import gradio as gr
from textblob import TextBlob
def sentiment_analysis(text: str) -> dict:
"""
对输入文本进行情感分析
参数:
text (str): 需要分析的文本内容
返回:
dict: 包含以下键值对的字典:
- polarity: 情感极性值 (-1到1之间,负值表示消极,正值表示积极)
- subjectivity: 主观性值 (0到1之间,0表示客观,1表示主观)
- assessment: 情感评估结果 ('positive', 'negative' 或 'neutral')
"""
blob = TextBlob(text)
sentiment = blob.sentiment
return {
"polarity": round(sentiment.polarity, 2),
"subjectivity": round(sentiment.subjectivity, 2),
"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="Text Sentiment Analysis",
description="Analyze the sentiment of a given text.",
)
if __name__ == "__main__":
demo.launch(mcp_server=True)