change app.py

app.py

@@ -26,17 +26,6 @@ from detectron2.data.detection_utils import convert_PIL_to_numpy,_apply_exif_ori
 from torchvision.transforms.functional import to_pil_image
 import amazon_oxy
 
-def fetch_products(query):
-    result= amazon_oxy.scrape_amazon(query)
-    values = list(result.values())
-    prices = []
-    urls = []
-    for price, url in values:
-        prices.append(price)
-        urls.append(url)
-    return [list(result.keys()), prices, urls]
-
-
 def pil_to_binary_mask(pil_image, threshold=0):
     np_image = np.array(pil_image)
     grayscale_image = Image.fromarray(np_image).convert("L")
@@ -50,6 +39,15 @@ def pil_to_binary_mask(pil_image, threshold=0):
     output_mask = Image.fromarray(mask)
     return output_mask
 
+def fetch_products(query):
+    result= amazon_oxy.scrape_amazon(query)
+    values = list(result.values())
+    prices = []
+    urls = []
+    for price, url in values:
+        prices.append(price)
+        urls.append(url)
+    return [list(result.keys()), prices, urls]
 
 base_path = 'yisol/IDM-VTON'
 example_path = os.path.join(os.path.dirname(__file__), 'example')
@@ -266,6 +264,7 @@ for ex_human in human_list_path:
     ex_dict['composite'] = None
     human_ex_list.append(ex_dict)
 
+
 ##default human