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app.py

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+import json
+import gradio as gr
+print("gradio version:",gr.__version__)
+from textblob import TextBlob
+print("TextBlob version:",(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 containig polarity,subjectivity and assesment
+    """
+    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"
+
+)  
+
+if __name__=="__main__":
+    demo.launch(mcp_server=True)

requirements.txt

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+gradio[mcp]
+textblob