Update app.py

app.py

@@ -86,25 +86,25 @@ def tryon(person_img, garment_img, seed, randomize_seed):
     retry_delay = 3  # Faster retries now!
 
     try:
-    session = requests.Session()
+     session = requests.Session()
 
     # 🛠️ Ensure both images are resized to 256x256
-    person_img = cv2.resize(person_img, (256, 256))
-    garment_img = cv2.resize(garment_img, (256, 256))
+        person_img = cv2.resize(person_img, (256, 256))
+        garment_img = cv2.resize(garment_img, (256, 256))
 
     # 🎯 Handle transparency if the garment has an alpha channel
-    if garment_img.shape[-1] == 4:
-        alpha = garment_img[:, :, 3] / 255.0
-        for c in range(0, 3):
-            person_img[:, :, c] = (1 - alpha) * person_img[:, :, c] + alpha * garment_img[:, :, c]
+        if garment_img.shape[-1] == 4:
+            alpha = garment_img[:, :, 3] / 255.0
+            for c in range(0, 3):
+                person_img[:, :, c] = (1 - alpha) * person_img[:, :, c] + alpha * garment_img[:, :, c]
 
     # 🔧 Optional: Center the garment on the torso area
-    h, w, _ = person_img.shape
-    g_h, g_w, _ = garment_img.shape
+        h, w, _ = person_img.shape
+        g_h, g_w, _ = garment_img.shape
 
-    x_offset = (w - g_w) // 2
-    y_offset = int(h * 0.35)  # Adjust this value for higher/lower garment placement
-    person_img[y_offset:y_offset + g_h, x_offset:x_offset + g_w] = garment_img
+        x_offset = (w - g_w) // 2
+        y_offset = int(h * 0.35)  # Adjust this value for higher/lower garment placement
+        person_img[y_offset:y_offset + g_h, x_offset:x_offset + g_w] = garment_img
 
     # ✅ Now the rest of your code continues here (retry loop, API call, etc.)