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app.py

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+import gradio as gr
+from textblob import TextBlob
+
+def analyze_sentiment(text) -> dict:    
+    """
+    Analyze the sentiment of the input text.
+    
+    Args:
+        text (str): The input text to analyze.
+    
+    Returns:
+        dict: A dictionary containing the polarity, subjectivity, and assessment of the text.
+    
+    """
+    blob = TextBlob(text)
+    sentiment = blob.sentiment
+
+    return {
+        f"polarity: {round(sentiment.polarity, 2)}", 
+        f"subjectivity: {round(sentiment.subjectivity, 2)}",
+        f"assessment: {'positive' if sentiment.polarity > 0 else 'negative' if sentiment.polarity < 0 else 'neutral'}"
+    }
+
+demo = gr.Interface(
+    fn=analyze_sentiment,
+    inputs=gr.Textbox(label="Input Text", placeholder="Enter text to analyze sentiment..."),
+    outputs=gr.JSON(),
+    title="Sentiment Analysis with TextBlob",
+    description="This app analyzes the sentiment of the input text using TextBlob and returns the polarity, subjectivity, and assessment.",
+)
+
+if __name__ == "__main__":
+    demo.launch(mcp_server=True)

requirements.txt

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+gradio[mcp]
+textblob