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README.md

@@ -1,12 +1,10 @@
----
-title: Mcp Sentiment
-emoji: 🌖
-colorFrom: indigo
-colorTo: pink
-sdk: gradio
-sdk_version: 5.38.0
-app_file: app.py
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Gradio MCP Server
+
+Example of custom MCP server using gradio.
+
+Use python version 3.11 and install requirements.
+
+Use `python app.py` to run the server. Then:
+
+- Visit `http://localhost:7860` for the web interface.
+- Visit `http://localhost:7860/gradio_api/mcp/schema` to access mcp schema.

app.py

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+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),
+        # 0 (objective) to 1 (subjective)
+        "subjectivity": round(sentiment.subjectivity, 2),
+        "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.in

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+gradio[mcp]==5.38.0
+textblob==0.19.0