Create app.py

app.py

@@ -0,0 +1,31 @@
+import random
+
+import gradio as gr
+
+
+def fake_gan():
+    fileName = display_cifar_misclassified_data(misclassified_data, classes, inv_normalize, number_of_samples=5)
+
+    images = [
+        (random.choice(
+            [
+                display_cifar_misclassified_data(misclassified_data, classes, inv_normalize, number_of_samples=5),
+                Image.open(fileName)
+            ]
+        ), f"label {i}")
+        for i in range(3)
+    ]
+    return images
+
+
+
+with gr.Blocks() as demo:
+    gallery = gr.Gallery(
+        label="Generated images", show_label=False, elem_id="gallery"
+    , columns=[3], rows=[1], object_fit="contain", height="auto")
+    btn = gr.Button("Generate images", scale=0)
+
+    btn.click(fake_gan, None, gallery)
+
+if __name__ == "__main__":
+    demo.launch()