Seed update

app.py

@@ -583,12 +583,12 @@ class InferenceWrapper:
         self.style_gan = StyleGAN(start_res=START_RES, target_res=TARGET_RES)
         self.style_gan.grow_model(128)
         self.style_gan.load_weights(os.path.join("pretrained/stylegan_128x128.ckpt"))
-        self.seed = 196
+        self.seed = -1
 
     def __call__(self, seed, feature):
         if seed != self.seed:
             print(f"Loading model: {self.model}")
-            tf.random.set_seed(196)
+            tf.random.set_seed(seed)
             batch_size = 1
             self.z = tf.random.normal((batch_size, self.style_gan.z_dim))
             self.w = self.style_gan.mapping(self.z)