Create app.py

app.py

@@ -0,0 +1,41 @@
+import json
+import gradio as gr
+from textblob import 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 containing polarity, subjectivity and assessment
+    """
+    blob = TextBlob(text)
+    sentiment = blob.sentiment
+
+    result = {
+        # -1 (negative) to 1(positive)
+        "polarity": round(sentiment.polarity, 2),
+        "subjectivity": round(sentiment.subjectivity, 2),
+        "assessment": "positive" if sentiment.polarity > 0 else "negative" if sentiment.polarity < 0 else "neutral"
+    }
+    return json.dumps(result)
+    # return f"Sentiment: {result['assessment']}"
+
+
+# Create a Gradio instance
+
+demo = gr.Interface(
+    fn=sentiment_analysis,
+    inputs=gr.Textbox(placeholder="Enter the text to analyze..."),
+    outputs=gr.Textbox(),
+    title="Text Sentiment Analysis",
+    description="Analyse the sentiment of the text using TextBlob",
+)
+
+
+# Launch the gradio instance and MCP server
+if __name__ == "__main__":
+    demo.launch(mcp_server=True)