Update README.md

README.md

@@ -16,6 +16,36 @@ Simple DCGAN implementation in TensorFlow to generate CryptoPunks.
 
 Project repository: [CryptoGANs](https://github.com/dimitreOliveira/cryptogans).
 
+## Usage
+
+You can play with the HuggingFace [space demo](https://huggingface.co/spaces/huggan/crypto-gan).
+
+Or try it yourself
+
+```python
+import tensorflow as tf
+import matplotlib.pyplot as plt
+from huggingface_hub import from_pretrained_keras
+
+seed = 42
+n_images = 36
+codings_size = 100
+generator = from_pretrained_keras("huggan/crypto-gan")
+
+def generate(generator, seed):
+    noise = tf.random.normal(shape=[n_images, codings_size], seed=seed)
+    generated_images = generator(noise, training=False)
+
+    fig = plt.figure(figsize=(10, 10))
+    for i in range(generated_images.shape[0]):
+        plt.subplot(6, 6, i+1)
+        plt.imshow(generated_images[i, :, :, :])
+        plt.axis('off')
+    plt.savefig("samples.png")
+    
+generate(generator, seed)
+```
+
 ## Training data
 
 For training, I used the 10000 CryptoPunks images.