Delete appy.py

appy.py

@@ -1,36 +0,0 @@
-def create_digit_samples(num_images):
-      random_latent_vectors = tf.random.normal(shape=(int(num_images), 128))
-      predictions = model.predict(random_latent_vectors)
-      num = ceil(sqrt(num_images))
-      digit_images = np.zeros((28*num, 28*num), dtype=float)
-      n = 0
-      for i in range(num):
-          for j in range(num):
-              if n == num_images:
-                  break
-              digit_images[i* 28 : (i+1)*28, j*28 : (j+1)*28] = predictions[n, :, :, 0]
-              n += 1
-      return digit_images
-
-title = "WGAN-GP"
-description = "Image Generation Using WGAN"
-article = """
-<p style='text-align: center'>
-            <a href='https://keras.io/examples/generative/wgan_gp/' target='_blank'>Keras Example given by A_K_Nain</a>
-            <br>
-            Space by Gitesh Chawda
-        </p>
-    """
-inputs = gr.inputs.Number(label="number of images")
-outputs = gr.outputs.Image(label="Predictions")
-
-examples = [
-            [4], 
-            [7],
-            [8],
-            [2], 
-            [10]
-]
-
-
-gr.Interface(create_digit_samples, inputs, outputs, title=title, examples=examples, description=description, article=article, analytics_enabled=False).launch(debug=True)