Update app.py

app.py

@@ -2,38 +2,43 @@ import json
 import gradio as gr
 from textblob import TextBlob
 
-
-def sentiment_analysis(text: str) -> str:
+def sentiment_analysis(text: str) -> dict:
     """
-    Analyze the sentiment of the given text.
-
-    Args:
-        text (str): The text to analyze
-
-    Returns:
-        str: A JSON string containing polarity, subjectivity, and assessment
+    Analyze the sentiment of the given text and return a dict (not a string).
+    HF + MCP both like dicts better.
     """
+    if not text:
+        return {"error": "No text provided"}
+
     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 {
+        "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)
+# ---------- Gradio UI ----------
+with gr.Blocks() as demo:
+    gr.Markdown("# Text Sentiment Analysis (MCP)")
+    inp = gr.Textbox(placeholder="Enter text to analyze...", label="Text")
+    out = gr.JSON(label="Sentiment")
+    btn = gr.Button("Analyze")
 
+    btn.click(fn=sentiment_analysis, inputs=inp, outputs=out)
 
-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",
-)
+# HF looks for this:
+app = demo
 
+# ---------- MCP ----------
+mcp_app = gr.mcp.App()
 
-# Launch the interface and MCP server
-if __name__ == "__main__":
-    demo.launch(mcp_server=True)
+@mcp_app.tool()
+def analyze(text: str) -> dict:
+    """MCP tool to expose the same sentiment analysis."""
+    return sentiment_analysis(text)