Create app.py

app.py

@@ -0,0 +1,34 @@
+import gradio as gr
+import cv2
+import numpy as np
+
+# Function to apply filters
+def process_image(image, filter_type):
+    image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)  # Convert to OpenCV format
+
+    if filter_type == "Grayscale":
+        processed = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
+    elif filter_type == "Blur":
+        processed = cv2.GaussianBlur(image, (15, 15), 0)
+    elif filter_type == "Edge Detection":
+        edges = cv2.Canny(image, 100, 200)  # Detect edges
+        processed = cv2.bitwise_not(edges)  # Invert to make edges black on white background
+    else:
+        processed = image  # No filter
+
+    return processed
+
+# Gradio Interface
+demo = gr.Interface(
+    fn=process_image,
+    inputs=[
+        gr.Image(type="numpy"),  # Upload Image
+        gr.Radio(["Grayscale", "Blur", "Edge Detection"], label="Choose Filter")
+    ],
+    outputs="image",
+    title="🖼️ Image Filters & Processing",
+    description="Upload an image and apply filters like Grayscale, Blur, or Edge Detection."
+)
+
+# Launch the app
+demo.launch()