Update app.py

app.py

@@ -26,6 +26,7 @@ from src.pipelines.pipeline_kandinsky_subject_prior import KandinskyPriorPipelin
 
 from diffusers import DiffusionPipeline
 from PIL import Image
+import random
 
 __device__ = "cpu"
 __dtype__ = torch.float32
@@ -68,6 +69,8 @@ class Model:
         ).to(self.device)
 
     def inference(self, raw_data, seed):
+        if seed is None:
+            seed = random.randint(0, 10000000)
         generator = torch.Generator(device="cuda").manual_seed(seed)
         image_emb, negative_image_emb = self.pipe_prior(
             raw_data=raw_data,