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 txt 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": sentiment.subjectivity, # 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 a given text using TextBlob"
)

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