Update app.py

app.py

@@ -1,35 +1,27 @@
 import gradio as gr
 
-with gr.Blocks() as demo1:
-    show_box = gr.Checkbox()
-
-    @gr.render(inputs=show_box)
-    def render(show_box):
-        if show_box:
-            textbox = gr.Textbox()
-            textbox2 = gr.Textbox()
-            textbox.change(lambda x:x, textbox, textbox2)
-        else:
-            gr.Markdown("Hidden textbox")
-
-#demo.launch(debug=True)
-
-import gradio as gr
-
 def predict(*args):
     print(args)
-    return {"inputs": list(args)}
+    return {"inputs": list[args]}
 
 with gr.Blocks() as demo:    
-    s = gr.Slider(1, 4, step=1, interactive=True)
+    s = gr.CheckboxGroup(choices=['Text-to-Image', 'Image-to-Image'],value='Text-to-Image', interactive=True)
 
-    @gr.render(inputs=s, triggers=[s.change])
-    def render(num):
-        texts = []
-        with gr.Row():
-            for i in range(num):
-               texts.append(gr.Textbox())
-        json = gr.JSON()
-        btn = gr.Button("RUN")
-        btn.click(fn=predict, inputs=texts, outputs=json)
-demo.launch(debug=True)
+    @gr.render(inputs=s, triggers=[s.input])
+    def render(value):
+        #texts = []
+        for Mode in value:
+            with gr.Tab(label=Mode):
+              if value=='Text-to-Image':
+                gr.Markdown(value=Mode)
+                gr.load('minimaxir/sdxl-wrong-lora', src='models') #.launch(debug=True, quiet=True) #minimaxir/sdxl-wrong-lora stabilityai/sdxl-turbo ByteDance/SDXL-Lightning
+              else:
+                gr.Markdown(value=Mode)
+                gr.load('stabilityai/stable-diffusion-xl-refiner-1.0', src='models') #.launch(height=1000, quiet=True)
+        #with gr.Row():
+            #for i in range(num):       
+            #texts.append(gr.Textbox())
+        #json = gr.JSON()
+        #btn = gr.Button("RUN")
+        #btn.click(fn=predict, inputs=texts, outputs=json)
+demo.launch(debug=True, quiet=True)