mcp-sentiment / app.py
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"""Server
Hugging face spaces needs an app.py file to build the space. So the name of the python file has to be app.py
Usage: python app.py
"""
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)
# 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 text using TextBlob",
)
# Launch the interface and MCP server
if __name__ == "__main__":
demo.launch(mcp_server=True, share=True)