MCP ready

app.py

@@ -43,6 +43,22 @@ ci = Interrogator(config)
 
 
 def inference(image, mode, best_max_flavors):
+    """
+    Generate a descriptive prompt from an input image using different interrogation modes.
+
+    Args:
+        image: A PIL Image object representing the input image to be analyzed.
+        mode: A string specifying the interrogation mode to use. 
+              Can be one of ['best', 'classic', 'fast']:
+              - 'best': Produces a prompt using the 'best' interrogation mode with max flavors control.
+              - 'classic': Uses the classic interrogation method.
+              - 'fast': Uses a faster but less detailed interrogation method.
+        best_max_flavors: An integer controlling the maximum number of flavor descriptors 
+                          when using 'best' mode (ignored in other modes).
+
+    Returns:
+        A string containing the generated prompt describing the image.
+    """
     
     
     image = image.convert('RGB')
@@ -133,4 +149,4 @@ with gr.Blocks(css=css) as demo:
 
     submit_btn.click(fn=inference, inputs=[input_image,mode_input,flavor_input], outputs=[output_text], api_name="clipi2")
     
-demo.queue(max_size=32).launch(show_api=False)
+demo.queue(max_size=32).launch(show_api=True, ssr_mode=False, mcp_server=True)