making image instead of imageEditor for human img input

app.py

@@ -151,10 +151,8 @@ def start_tryon(human_img_dict,garm_img,garment_des, background_img, is_checked,
     pipe.to(device)
     pipe.unet_encoder.to(device)
     
-    if isinstance(human_img_dict, dict):        
-        human_img_orig = human_img_dict["background"].convert("RGB")   # ImageEditor
-    else:
-        human_img_orig = dict.convert("RGB")     # Image
+    #human_img_orig = human_img_dict["background"].convert("RGB")   # ImageEditor
+    human_img_orig = dict.convert("RGB")     # Image
 
     """
     # Derive HEIGHT & WIDTH such that width is not more than 1000. This will cater to both Shein images (4160x6240) of 3:4 AR and model standard images ( 768x1024 ) of 2:3 AR
@@ -298,15 +296,15 @@ human_list = os.listdir(os.path.join(example_path,"human"))
 human_list_path = [os.path.join(example_path,"human",human) for human in human_list]
 
 human_ex_list = []
-#human_ex_list = human_list_path # Image
-#""" if using ImageEditor instead of Image while taking input, use this - ImageEditor
+human_ex_list = human_list_path # Image
+""" if using ImageEditor instead of Image while taking input, use this - ImageEditor
 for ex_human in human_list_path:
     ex_dict= {}
     ex_dict['background'] = ex_human
     ex_dict['layers'] = None
     ex_dict['composite'] = None
     human_ex_list.append(ex_dict)
-#"""
+"""
 ##default human
 
 
@@ -319,8 +317,8 @@ with image_blocks as demo:
         with gr.Column():
             # changing from ImageEditor to Image to allow easy passing of data through API
             # instead of passing {"dictionary": <>} ( which is failing ), we can directly pass the image
-            imgs = gr.ImageEditor(sources='upload', type="pil", label='Human. Mask with pen or use auto-masking', interactive=True)
-            #imgs = gr.Image(sources='upload', type='pil',label='Human. Mask with pen or use auto-masking')
+            #imgs = gr.ImageEditor(sources='upload', type="pil", label='Human. Mask with pen or use auto-masking', interactive=True)
+            imgs = gr.Image(sources='upload', type='pil',label='Human. Mask with pen or use auto-masking')
             with gr.Row():
                 is_checked = gr.Checkbox(label="Yes", info="Use auto-generated mask (Takes 5 seconds)",value=True)
             with gr.Row():