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import json | |
import gradio as gr | |
from textblob import TextBlob | |
def sentiment_analysis(text:str) -> str: | |
""" | |
Analyze the sentiment of given sentence or text. | |
Args: | |
text (str) : text to be analysed | |
Returns: | |
str: A JSOn String containing polarity,subjectivity and assessment | |
""" | |
blob = TextBlob(text) | |
sentiment = blob.sentiment | |
result={ | |
"plarity": round(sentiment.polarity, 2), | |
"subjectivity": round(sentiment.subjectivity, 2), | |
"assessment": "positive" if sentiment.polarity >0 else "negative" if sentiment.polarity <0 else "neutral" | |
} | |
return json.dumps(result) | |
# create gradio interface | |
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) | |