app

app.py

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+import gradio as gr
+from textblob import TextBlob
+
+def sentiment_analysis(text: str) -> dict:
+    """
+    Analyzes the sentiment of the given text.
+    
+    Args:
+        text (str): The text to analyze.
+    
+    Returns:
+        dict: A dictionary containing polarity, subjectivity, and assessment
+    """
+
+    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"
+    }
+    
+    # Create the Gradio interface
+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 text using TextBlob"
+    )
+
+    # Launch the interface
+if __name__ == "__main__":
+    demo.launch(mcp_server=True)

requirements.txt

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+gradio[mcp]
+textblob
+