Update app.py

app.py

@@ -2,6 +2,12 @@ import cv2
 import numpy as np
 import gradio as gr
 
+color_ranges = [
+    ([100, 150, 0], [140, 255, 255]),  # Blue range
+    ([35, 100, 100], [85, 255, 255])   # Green range
+]
+
+
 # Farklı filtre fonksiyonları
 def apply_gaussian_blur(frame):
     return cv2.GaussianBlur(frame, (15, 15), 0)
@@ -61,10 +67,35 @@ def apply_filter(filter_type, input_image=None):
         return apply_sepia_filter(frame)
     elif filter_type == "Sonbahar":
         return apply_fall_filter(frame)
+    elif filter_type == "Mehmet":
+        return apply_multiple_color_filters(frame)
+
+
+
+
+def apply_multiple_color_filters(image):
+    hsv_image = cv2.cvtColor(image, cv2.COLOR_BGR2HSV)
+
+    # Initialize a mask with zeros (black)
+    combined_mask = np.zeros(hsv_image.shape[:2], dtype="uint8")
+
+    # Loop through each color range and create masks
+    for (lower_color, upper_color) in color_ranges:
+        lower_bound = np.array(lower_color)
+        upper_bound = np.array(upper_color)
+        mask = cv2.inRange(hsv_image, lower_bound, upper_bound)
+        combined_mask = cv2.bitwise_or(combined_mask, mask)
+
+    # Apply the combined mask to the image
+    filtered_image = cv2.bitwise_and(image, image, mask=combined_mask)
+    return filtered_image 
+
+
+apply_multiple_color_filters('path_to_your_image.jpg', color_ranges)        
 
 # Gradio arayüzü
 with gr.Blocks() as demo:
-    gr.Markdown("# Web Kameradan Canlı Filtreleme")
+    gr.Markdown("# Image Proccessing Exercise 01 - Tech Istanbul")
 
     # Filtre seçenekleri
     filter_type = gr.Dropdown(