Create app.py

app.py

@@ -0,0 +1,13 @@
+from __future__ import annotations
+
+import gradio as gr
+import numpy as np
+
+
+def image_classifier(input_image: np.ndarray) -> dict[str, float]:
+    """Output a dummy probability for the image to be a dog or a cat."""
+    return {"cat": 0.3, "dog": 0.7}
+
+
+demo = gr.Interface(fn=image_classifier, inputs="image", outputs="label")
+demo.launch()