feat: Update app.py to use new Tile-Upscaler client

app.py

@@ -9,6 +9,8 @@ with open('loras.json', 'r') as f:
 
 job = None
 
+client = Client("fffiloni/sd-xl-custom-model")
+
 def infer(selected_index, prompt, style_prompt, inf_steps, guidance_scale, width, height, seed, lora_weight, progress=gr.Progress(track_tqdm=True)):    
     try:
 
@@ -20,14 +22,12 @@ def infer(selected_index, prompt, style_prompt, inf_steps, guidance_scale, width
         custom_model = selected_lora["repo"]
         trigger_word = selected_lora["trigger_word"]
 
-        client = Client("fffiloni/sd-xl-custom-model")
         result = client.submit(
             custom_model=custom_model,
             api_name="/load_model"
         )
         weight_name = result.result()[2]['value']
 
-        client = Client("fffiloni/sd-xl-custom-model")
         prompt_arr = [trigger_word, prompt, style_prompt]
         prompt = '. '.join([element.strip() for element in prompt_arr if element.strip() != ''])
         
@@ -71,16 +71,16 @@ def update_selection(evt: gr.SelectData):
 
 def upscale(image, resolution, inf_steps, strength, hdr_effect, guidance_scale):
     try:
-        other_client = Client("gokaygokay/Tile-Upscaler")
-        result = other_client.predict(
-            param_0=handle_file(image),
-            param_1=resolution,
-            param_2=inf_steps,
-            param_3=strength,
-            param_4=hdr_effect,
-            param_5=guidance_scale,
-            api_name="/wrapper"
-        )
+        # other_client = Client("gokaygokay/Tile-Upscaler")
+        # result = other_client.predict(
+        #     param_0=handle_file(image),
+        #     param_1=resolution,
+        #     param_2=inf_steps,
+        #     param_3=strength,
+        #     param_4=hdr_effect,
+        #     param_5=guidance_scale,
+        #     api_name="/wrapper"
+        # )
         return [image, image]
         return result
     except Exception as e: