update gradio Client for clip interrogator

app.py

@@ -1,5 +1,6 @@
 import gradio as gr
 import os
+from gradio_client import Client
 
 title="Prompt Converter"
 
@@ -12,7 +13,7 @@ Stable Diffusion 2 uses OpenCLIP ViT-H model trained on LAION dataset so it know
 """
 
 stable_diffusion = gr.load(name="spaces/runwayml/stable-diffusion-v1-5")
-clip_interrogator_2 = gr.load(name="spaces/fffiloni/CLIP-Interrogator-2")
+clip_interrogator_2 = Client("https://fffiloni-clip-interrogator-2.hf.space/")
 
 def get_images(prompt):
     gallery_dir = stable_diffusion(prompt, fn_index=2)    
@@ -20,7 +21,12 @@ def get_images(prompt):
     return img_results[0]
 
 def get_new_prompt(img, mode):
-    interrogate = clip_interrogator_2(img, mode, 12, api_name="clipi2")
+    interrogate = clip_interrogator_2.predict(
+    				img,	# str (filepath or URL to image) in 'parameter_3' Image component
+    				mode,	# str in 'Select mode' Radio component
+    				12,	# int | float (numeric value between 2 and 24) in 'best mode max flavors' Slider component
+    				api_name="/clipi2"
+    #interrogate = clip_interrogator_2(img, mode, 12, api_name="clipi2")
     return interrogate
 
 def infer(prompt, mode):