Update app.py

app.py

@@ -0,0 +1,21 @@
+#Part 1
+%matplotlib inline
+import matplotlib as mpl
+import matplotlib.pyplot as plt
+import pandas as pd
+import numpy as np
+import time
+import tensorflow as tf
+from sklearn.metrics import accuracy_score
+from sklearn.neighbors import KNeighborsClassifier
+
+#step 1
+(x_train, y_train), (x_test, y_test) = tf.keras.datasets.mnist.load_data()
+
+input_module1 = gr.inputs.Image(label = "test_image")
+
+input_module2 = gr.inputs.Slider(1, 10, step=1, label = "k")
+
+output_module1 = gr.outputs.Textbox(label = "Predicted Digit")
+
+output_module2 = gr.outputs.Image(label = "Predicted Probability by class")