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Update app.py
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import gradio as gr
import matplotlib.pyplot as plt
import tensorflow as tf
from huggingface_hub import from_pretrained_keras
seed = gr.inputs.Slider(step = 1)
number_of_examples = gr.inputs.Slider(minimum = 1, maximum = 4, step = 1, label = "Number of Examples to Generate")
image = gr.outputs.Image(type = "plot")
model = from_pretrained_keras("merve/anime-faces-generator")
def generate_and_save_images(number_of_examples):
seed = tf.random.normal([number_of_examples, 100])
predictions = model(seed, training=False)
fig = plt.figure(figsize=(80, 80))
for i in range(predictions.shape[0]):
plt.subplot(2, 2, i+1)
plt.imshow(predictions[i, :, :, :])
plt.axis('off')
return fig
description = "Anime face generator made with DCGAN"
gr.Interface(generate_and_save_images, inputs = [number_of_examples], outputs = image,
title = "Anime Face Generator", description = description).launch()