Create app.py

app.py

@@ -0,0 +1,13 @@
+import gradio as gr]
+import pickle
+import numpy as np
+model  = pickle.load(open("model.pkl","rb"))
+
+def predict_v(input_value):
+    try:
+        if input_value == None: pass
+    except:
+        return np.argmax(input_value / 255.)
+gr.Interface(fn=predict_v,
+            inputs = gr.SketchPad(),
+            outputs="number").launch()