Upload correct app.py and requirements.txt

app.py

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+import gradio as gr
+from textblob import TextBlob
+
+def sentiment_analysis(text: str) -> dict:
+    """
+    Performs sentiment analysis on the input text.
+
+    Args:
+        text (str): The text to analyze.
+
+    Returns:
+        dict: A dictionary containing polarity, subjectivity, and a qualitative assessment.
+    """
+    blob = TextBlob(text)
+    polarity = blob.sentiment.polarity
+    subjectivity = blob.sentiment.subjectivity
+
+    if polarity > 0.1:
+        assessment = "positive"
+    elif polarity < -0.1:
+        assessment = "negative"
+    else:
+        assessment = "neutral"
+
+    return {
+        "polarity": polarity,
+        "subjectivity": subjectivity,
+        "assessment": assessment
+    }
+
+iface = gr.Interface(
+    fn=sentiment_analysis,
+    inputs=gr.Textbox(lines=2, placeholder="Enter text for sentiment analysis..."),
+    outputs=gr.JSON(),
+    title="Sentiment Analysis Tool (MCP Enabled)",
+    description="Enter text to get its sentiment polarity, subjectivity, and a qualitative assessment. This server is MCP enabled."
+)
+
+if __name__ == "__main__":
+    # Launch the server with mcp_server=True to enable the MCP endpoint
+    iface.launch(mcp_server=True)

requirements.txt

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+gradio[mcp]
+textblob