Create cv2

cv2

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+import cv2
+import numpy as np
+import gradio as gr
+
+def apply_blur(image):
+    return cv2.GaussianBlur(image, (15, 15), 0)
+
+def apply_invert(image):
+    return cv2.bitwise_not(image)
+
+def apply_sharpen(image):
+    kernel = np.array([[0, -1, 0], [-1, 5, -1], [0, -1, 0]])
+    return cv2.filter2D(image, -1, kernel)
+
+def apply_black_white(image):
+    return cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
+
+def apply_filter(image, filter_type):
+    image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
+
+    if filter_type == 'blur':
+        result = apply_blur(image)
+    elif filter_type == 'invert':
+        result = apply_invert(image)
+    elif filter_type == 'sharpen':
+        result = apply_sharpen(image)
+    elif filter_type == 'black & white':
+        result = apply_black_white(image)
+    else:
+        result = image
+
+    if len(result.shape) == 2:
+        result = cv2.cvtColor(result, cv2.COLOR_GRAY2BGR)
+
+    return cv2.cvtColor(result, cv2.COLOR_BGR2RGB)
+
+def run_interface():
+    filter_choices = ['blur', 'invert', 'sharpen', 'black & white']
+
+    interface = gr.Interface(
+        fn=apply_filter,
+        inputs=[gr.Image(type='numpy'),
+                gr.Dropdown(filter_choices, label='Select Filter')],
+        outputs=gr.Image(type='numpy'),
+        live=2
+    )
+    return interface
+
+iface = run_interface()
+iface.launch()