Create app.py

app.py

@@ -0,0 +1,25 @@
+import gradio as gr
+seed = gr.inputs.Slider(step = 1)
+
+from huggingface_hub import from_pretrained_keras
+
+number_of_examples = gr.inputs.Slider(minimum = 1, maximum = 4, step = 1)
+image = gr.outputs.Image(type = "plot")
+
+model = from_pretrained_keras("merve/anime-faces-generator")
+def generate_and_save_images(seed, number_of_examples):
+  
+  seed = tf.random.normal([number_of_examples, seed])
+  predictions = model(test_input, training=False)
+
+  fig = plt.figure(figsize=(16, 64))
+
+  for i in range(predictions.shape[0]):
+      plt.subplot(1, 4, i+1)
+      plt.imshow(predictions[i, :, :, :])
+      plt.axis('off')
+  return plt
+
+
+
+gr.Interface(generate_and_save_image, inputs = [seed, number_of_examples], outputs = image).launch(debug=True)