Upload server.py

server.py

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+import gradio as gr
+from textblob import TextBlob
+
+def sentiment_analysis(text: str) -> dict:
+    """
+    Analyze the sentiment of a given text.
+    
+    Args:
+        text (str): The input text to analyze.
+
+    Returns:
+        dict: A dictionary containing the sentiment polarity, subjectivity scores and assessment.
+    """
+    blob = TextBlob(text)
+    sentiment = blob.sentiment
+    return {
+        "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"
+    }
+
+# Gradio Interface
+sentiment_analyzer = 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 a given text using TextBlob.",
+)
+
+# Launch the interface and MCP server
+if __name__ == "__main__":
+    sentiment_analyzer.launch(mcp_server=True)