Update app.py

app.py

@@ -1,37 +1,27 @@
 import gradio as gr
-from gradio_client import Client
 
-# This client connects to a language model that can write text
-llm_client = Client("hysts/zephyr-7b")
-
-def create_compliment(text_description: str) -> str:
+def add_numbers(a: float, b: float) -> float:
     """
-    Takes a text description of a scene and turns it into a fun, friendly compliment.
+    Adds two numbers together.
 
     Args:
-        text_description: A description of what is in a picture.
+        a: The first number.
+        b: The second number.
     """
-    prompt = f"Please turn the following description into a short, fun, and friendly compliment: {text_description}"
-    
-    # We send the prompt to the language model to get our final result.
-    # CORRECTED api_name from "/add_text" to "/predict"
-    compliment = llm_client.predict(
-			prompt=prompt,
-			max_new_tokens=128,
-			api_name="/predict" 
-    )
-    
-    return compliment
+    return a + b
 
-# Create the Gradio interface
+# Create a simple interface for our tool
 iface = gr.Interface(
-    fn=create_compliment,
-    inputs=gr.Textbox(label="Describe a scene or person"),
-    outputs=gr.Textbox(label="Generated Compliment"),
-    title="The Complimenter Tool",
-    description="An MCP server that generates compliments from text descriptions. [1, 2]"
+    fn=add_numbers,
+    inputs=[
+        gr.Number(label="First Number"), 
+        gr.Number(label="Second Number")
+    ],
+    outputs=gr.Number(label="Sum"),
+    title="Addition MCP Server",
+    description="A simple MCP tool that adds two numbers. [1, 2]"
 )
 
-# Launch the app as an MCP server
+# Launch the app as an MCP server. This is the most important part.
 if __name__ == "__main__":
     iface.launch(mcp_server=True)