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app.py

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+import gradio as gr
+from tensorflow import keras as k
+import numpy as np
+
+loaded_SNN = k.models.load_model('SequentialNN.h5')
+
+def predict(img):
+    img_array = np.array(img)
+    img_array = np.array(img_array, dtype = 'int32').reshape(1, 28, 28)
+
+    pred = loaded_SNN.predict([img_array])
+    return np.argmax(pred) 
+
+iface = gr.Interface(predict, inputs = 'sketchpad', 
+                     outputs = 'text',
+                     allow_flagging = 'never',
+                     description = 'Draw a Digit Below... (Draw in the centre for best results)')
+iface.launch(share = True, width = 500, height = 500)