Update app.py

app.py

@@ -208,18 +208,19 @@ class AnimateController:
 
 
        
-        # Load the image
-        img = cv2.imread('image.jpg')
+        # Open the image
+        image = Image.open(init_image).convert("RGBA")
 
-        # Resize the image to (64, 64)
-        img = cv2.resize(img, (64, 64))
 
-        # Save the flattened image as a JPEG file
-        cv2.imwrite('resized_image.jpg', img)
+         # Resize the image 
+        image.resize((512, 512))
+
+         # Save the resized image to the specified output path
+        image.save("resized.jpg")
         
         sample = pipeline(
             prompt_textbox,
-            init_image          = "resized_image.jpg",
+            init_image          = "resized.jpg",
             negative_prompt     = negative_prompt_textbox,
             num_inference_steps = 25,
             guidance_scale      = 8.,