app1.py

app1.py

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+import gradio as gr
+import cv2
+import numpy as np
+
+# Function to apply grayscale filter
+def grayscale(image):
+    return cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
+
+# Function to apply blur filter
+def blur(image):
+    return cv2.GaussianBlur(image, (15, 15), 0)
+
+# Function to apply edge detection
+def edge_detection(image):
+    return cv2.Canny(image, 100, 200)
+
+# Function to load and process the image
+def process_image(image, filter_type):
+    if filter_type == "Grayscale":
+        return grayscale(image)
+    elif filter_type == "Blur":
+        return blur(image)
+    elif filter_type == "Edge Detection":
+        return edge_detection(image)
+
+# Create the Gradio interface
+def create_interface():
+    filters = ["Grayscale", "Blur", "Edge Detection"]
+    
+    # Create a Gradio Interface
+    interface = gr.Interface(
+        fn=process_image,
+        inputs=[
+            gr.Image(type="numpy", label="Upload Image"),
+            gr.Dropdown(filters, label="Select Filter")
+        ],
+        outputs=gr.Image(type="numpy", label="Processed Image"),
+        live=True,
+        title="Simple Photo Editor",
+        description="Upload an image and apply filters like Grayscale, Blur, or Edge Detection."
+    )
+
+    return interface
+
+# Launch the app
+if __name__ == "__main__":
+    app = create_interface()
+    app.launch()