Initial commit: Add MCP sentiment analysis app

app.py

@@ -0,0 +1,45 @@
+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 = {
+        "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"
+        ),
+    }
+
+    return json.dumps(result)
+
+
+# Create the Gradio interface
+demo = gr.Interface(
+    fn=sentiment_analysis,
+    inputs=gr.Textbox(placeholder="Enter text to analyze..."),
+    outputs=gr.Textbox(),  # Changed from gr.JSON() to gr.Textbox()
+    title="Text Sentiment Analysis",
+    description="Analyze the sentiment of text using TextBlob",
+)
+
+# Launch the interface and MCP server
+if __name__ == "__main__":
+    demo.launch(mcp_server=True)

requirements.txt

@@ -0,0 +1,2 @@
+gradio[mcp]
+textblob