Update app.py

app.py

@@ -10,9 +10,9 @@ import cv2 as cv
 processor = SegformerImageProcessor.from_pretrained("mattmdjaga/segformer_b2_clothes")
 model = AutoModelForSemanticSegmentation.from_pretrained("mattmdjaga/segformer_b2_clothes")
 
-# Saç renklerini değiştiren fonksiyon
+
 def change_hair_color(image, selected_color):
-    # Model için görüntüyü işleyin
+
     inputs = processor(images=image, return_tensors="pt")
 
     # Model çıktısını alarak segmentasyon maskesini oluşturun
@@ -47,13 +47,14 @@ def change_hair_color(image, selected_color):
     mor_sac = cv.merge([r, g, r])    # Yeşili azaltarak mora kaydır
 
     # Seçilen renge göre filtreyi uygula
-    if selected_color == "Yeşil":
+    if selected_color == "Green":
         final_image = cv.addWeighted(image_cv, 1, cv.bitwise_and(yesil_sac, yesil_sac, mask=hair_mask), 1, 0)
-    elif selected_color == "Mavi":
+    elif selected_color == "Blue":
         final_image = cv.addWeighted(image_cv, 1, cv.bitwise_and(mavi_sac, mavi_sac, mask=hair_mask), 1, 0)
-    elif selected_color == "Sarı":
+    elif selected_color == "Yellow":
         final_image = cv.addWeighted(image_cv, 1, cv.bitwise_and(sari_sac, sari_sac, mask=hair_mask), 1, 0)
-    elif selected_color == "Mor":
+    elif selected_color == "Purple
+":
         final_image = cv.addWeighted(image_cv, 1, cv.bitwise_and(mor_sac, mor_sac, mask=hair_mask), 1, 0)
     else:
         final_image = image_cv  # Orijinal renk
@@ -69,11 +70,11 @@ iface = gr.Interface(
     inputs=[
         gr.Image(type="pil"), 
         gr.Dropdown(
-            choices=["Yeşil", "Mavi", "Sarı", "Mor"], 
+            choices=["Green", "Blue", "Yellow", "Purple"], 
             label="Select Color"
         )
     ], 
-    outputs=gr.Image(type="numpy", label="Sonuç"),
+    outputs=gr.Image(type="numpy", label="result"),
     live=False, 
     title="Hair Filter",
     description="To change hair color, upload an image and select the color you want, then click the Submit button."