Update app.py

app.py

@@ -16,9 +16,11 @@ pixelcut_api_key = "sk_299d9c6e36d240cbb3dd65fcbac947a4"
 # ✅ ImgBB API Key (for uploading images to get valid URLs)
 imgbb_api_key = "03a2ddf1ffa5df33a3999cf20c2fb20f"
 
-# 🎯 Convert image to PNG format  
+
+# 🎯 Convert image to PNG format (keeps the blue tint glitch!)
 def convert_to_png(image):
-    return cv2.cvtColor(image, cv2.COLOR_BGR2RGB)  # This causes the blue tint
+    return cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
+
 
 # 🔥 Resize large images to prevent upload failures (ImgBB limit: 32MB)
 def resize_image(image, max_size=1024):
@@ -28,6 +30,7 @@ def resize_image(image, max_size=1024):
         return cv2.resize(image, (int(width * scale), int(height * scale)))
     return image
 
+
 # 🛠️ Upload images to ImgBB (fixed payload!)
 def upload_image_to_imgbb(image_data):
     url = f"https://api.imgbb.com/1/upload?key={imgbb_api_key}"
@@ -40,28 +43,38 @@ def upload_image_to_imgbb(image_data):
         print("❌ ImgBB upload failed:", response.text)
         return None
 
-# 🚀 Main try-on function using Pixelcut API
+
+# 🚀 Main try-on function (with blue tint + garment overlay)
 def tryon(person_img, cloth_img, seed, random_seed):
     import cv2
     import numpy as np
 
-    # Handle seed
+    # 🎲 Handle seed
     if random_seed:
-        import random
         seed = random.randint(0, 1000000)
 
-    # Convert images to **BGR** (causes blue tint)
+    # 🔵 Convert images to RGB (keeps the blue tint glitch!)
     person_img = cv2.cvtColor(person_img, cv2.COLOR_BGR2RGB)
     cloth_img = cv2.cvtColor(cloth_img, cv2.COLOR_BGR2RGB)
 
-    # Resize to 256x256
+    # ✂️ Resize both images to 256x256
     person_img = cv2.resize(person_img, (256, 256))
     cloth_img = cv2.resize(cloth_img, (256, 256))
 
-    # (Simulated output — blue tint included)
+    # 🔥 Blend garment onto person (simple overlay — still has blue tint)
     output_img = person_img.copy()
+    h, w, _ = person_img.shape
+    g_h, g_w, _ = cloth_img.shape
+
+    # Position the garment roughly on the torso (manual offset)
+    x_offset = (w - g_w) // 2
+    y_offset = int(h * 0.35)
+
+    # 🛠️ Add garment onto person (no transparency support — raw overlay)
+    output_img[y_offset:y_offset + g_h, x_offset:x_offset + g_w] = cloth_img
+
+    return output_img, seed, "✅ Success (Blue tint + Garment added)"
 
-    return output_img, seed, "Success"
 
 # 🔧 Paths for examples
 example_path = os.path.join(os.path.dirname(__file__), "assets")
@@ -72,6 +85,7 @@ garm_list_path = [os.path.join(example_path, "cloth", garm) for garm in garm_lis
 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]
 
+
 css="""
 #col-left {
     margin: 0 auto;