Create app.py

app.py

@@ -0,0 +1,13 @@
+import numpy as np
+
+def image_classifier(inp):
+  confidence_scores = np.random.rand(3)
+  confidence_scores /= np.sum(confidence_scores)
+  classes = ['King', 'Knight', 'Queen']
+  result = {classes[i] : confidence_scores[i] for i in range(3)}
+  return result
+
+import gradio as gr
+
+demo = gr.Interface(fn = image_classifier, inputs="image", outputs="label")
+demo.launch()