Update app.py

app.py

@@ -16,6 +16,7 @@ model = T5ForConditionalGeneration.from_pretrained("roborovski/superprompt-v1",
 model.to(device)
 
 def generate(your_prompt, task_prefix, max_new_tokens, repetition_penalty, temperature, model_precision_type, top_p, top_k, seed):
+    
     if seed == 0:
         seed = random.randint(1, 2**32-1)
     transformers.set_seed(seed)
@@ -60,7 +61,7 @@ top_p = gr.Slider(value=1, minimum=0, maximum=2, step=0.05, label="Top P", info=
 
 top_k = gr.Slider(value=50, minimum=1, maximum=100, step=1, label="Top K", info="Higher k means more diverse outputs by considering a range of tokens")
 
-seed = gr.Slider(value=42, minimum=0, maximum=2**32-1, label="Seed", info="A starting point to initiate the generation process, put 0 for a random one")
+seed = gr.Slider(value=42, minimum=0, maximum=2**32-1, step=1, label="Seed", info="A starting point to initiate the generation process, put 0 for a random one")
 
 examples = [
     ["A storefront with 'Text to Image' written on it.", 512, 1.2, 0.5, "fp16", 1, 50, 42]