Create app.py

app.py

@@ -0,0 +1,28 @@
+import gradio as gr
+import numpy as np
+import cv2
+
+def filter_img(input_img,filter_type):
+    img = input_img
+    if filter_type == 'vintage':
+        sepia_filter = np.array(
+            [[0.393, 0.769, 0.189], [0.349, 0.686, 0.168], [0.272, 0.534, 0.131]]
+        )
+        filtered_img = img.dot(sepia_filter.T)
+        filtered_img /= filtered_img.max()
+        return filtered_img
+        
+        
+    elif filter_type == 'gray-sharp':
+        img = cv2.cvtColor(img,cv2.COLOR_RGB2GRAY)
+    filtered_img = cv2.addWeighted(img,4, cv2.blur(img,(128,128)),-4,128)
+    
+    return filtered_img
+
+demo = gr.Interface(filter_img,
+                        inputs = [ gr.Image(),gr.inputs.Dropdown(["sharp","gray-sharp","vintage"])], 
+                        outputs = "image", 
+                        description="Cool image filters!"
+                    )
+
+demo.launch(inline=False)