Update app.py

app.py

@@ -13,7 +13,7 @@ model = tf.keras.saving.load_model("tf_model_mnist")
 
 def preprocess(image):
     """ Normalize Gradio image to MNIST format """
-    image = image.resize((28, 28), Image.Resampling.HAMMING)
+    image = image.resize((28, 28), Image.Resampling.BOX)
     img_array = np.asarray(image, dtype=np.float32)
     for i in range(img_array.shape[0]):
         for j in range(img_array.shape[1]):
@@ -41,7 +41,7 @@ def predict(img):
 input_image = gr.Sketchpad(
         layers=False,
         type="pil",
-        canvas_size=(300, 300),
+        canvas_size=(500, 500),
     )
 demo = gr.Interface(
     predict,