Upload app.py with huggingface_hub

app.py

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+from huggingface_hub import from_pretrained_keras
+import gradio as gr
+import tensorflow as tf
+
+model = from_pretrained_keras("emresvd/u304")
+
+gr.Interface(
+    fn=lambda: model(tf.random.normal([1, 100]), training=False).numpy()[0, :, :, ::-1],
+    inputs=[],
+    outputs=gr.Image(label="output", type="numpy", show_download_button=True, height=64 * 8, width=64 * 8),
+).launch()