Update app.py

app.py

@@ -127,6 +127,9 @@ def sample_then_run(net):
     # sample
     sample = torch.zeros([1, 10000]).to(device)
 
+    sample_seed = random.randint(0, 100000)
+    torch.manual_seed(sample_seed)
+    
     #only first 1000 PCs
     for i in range(1000):
         sample[0, i] = torch.normal(m[i], standev[i], (1,1))