Update app.py

CryptoGAN first iteration

app.py

@@ -1,7 +1,30 @@
 import gradio as gr
+import tensorflow as tf
+import matplotlib.pyplot as plt
+from huggingface_hub import from_pretrained_keras
 
-def greet(name):
-    return "Hello " + name + "!!"
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+n_images = 64
+codings_size = 100
+hub_generator = from_pretrained_keras("huggan/crypto-gan")
+
+def post_process(image):
+    image = ((image + 1) / 2) # scale back
+    return image
+
+def generate():
+    noise = tf.random.normal([n_images, codings_size])
+    generated_images = hub_generator(noise, training=False)
+
+    fig = plt.figure(figsize=(10, 10))
+    for i in range(generated_images.shape[0]):
+        plt.subplot(8, 8, i+1)
+        plt.imshow(post_process(generated_images[i, :, :, :]), cmap="binary")
+        plt.axis('off')
+    return fig
+
+gr.Interface(fn=generate, 
+            inputs=[number_of_examples], 
+            outputs="image", 
+            title="CryptoGAN", 
+            description="These CryptoPunks do not exist. gGnerate your own CryptoPunks").launch()