Create app.py

app.py

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+import numpy as np
+import keras
+import gradio as gr
+
+from huggingface_hub import from_pretrained_keras
+
+model = from_pretrained_keras("Andysoeasy/digit_defines")
+
+
+def greet(img):
+    img = np.expand_dims(img, axis = 0)
+    return np.argmax(model.predict(img)[0])
+
+
+demo = gr.Interface(fn = greet,
+                   inputs = 'sketchpad',
+                   outputs = 'text')
+demo.launch()