Update app.py

app.py

@@ -7,7 +7,7 @@ def apply_gaussian_blur(frame):
     return cv2.GaussianBlur(frame, (15, 15), 0)
 
 def apply_sharpening_filter(frame):
-    kernel = np.array([[0, -1, 0], [-1, 5,-1], [0, -1, 0]])
+    kernel = np.array([[0, -1, 0], [-1, 5, -1], [0, -1, 0]])
     return cv2.filter2D(frame, -1, kernel)
 
 def apply_edge_detection(frame):
@@ -22,6 +22,18 @@ def adjust_brightness_contrast(frame, alpha=1.0, beta=50):
 def apply_grayscale_filter(frame):
     return cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
 
+def apply_sepia_filter(frame):
+    sepia_filter = np.array([[0.272, 0.534, 0.131],
+                             [0.349, 0.686, 0.168],
+                             [0.393, 0.769, 0.189]])
+    return cv2.transform(frame, sepia_filter)
+
+def apply_fall_filter(frame):
+    fall_filter = np.array([[0.393, 0.769, 0.189],
+                            [0.349, 0.686, 0.168],
+                            [0.272, 0.534, 0.131]])
+    return cv2.transform(frame, fall_filter)
+
 # Filtre uygulama fonksiyonu
 def apply_filter(filter_type, input_image=None):
     if input_image is not None:
@@ -45,6 +57,10 @@ def apply_filter(filter_type, input_image=None):
         return adjust_brightness_contrast(frame, alpha=1.0, beta=50)
     elif filter_type == "Grayscale":
         return apply_grayscale_filter(frame)
+    elif filter_type == "Sepia":
+        return apply_sepia_filter(frame)
+    elif filter_type == "Sonbahar":
+        return apply_fall_filter(frame)
 
 # Gradio arayüzü
 with gr.Blocks() as demo:
@@ -53,10 +69,10 @@ with gr.Blocks() as demo:
     # Filtre seçenekleri
     filter_type = gr.Dropdown(
         label="Filtre Seçin",
-        choices=["Gaussian Blur", "Sharpen", "Edge Detection", "Invert", "Brightness", "Grayscale"],
+        choices=["Gaussian Blur", "Sharpen", "Edge Detection", "Invert", "Brightness", "Grayscale", "Sepia", "Sonbahar"],
         value="Gaussian Blur"
     )
-    interactive=True
+
     # Görüntü yükleme alanı
     input_image = gr.Image(label="Resim Yükle", type="numpy")