fixed

app.py

@@ -3,9 +3,6 @@ import torch
 import random
 from transformers import T5Tokenizer, T5ForConditionalGeneration
 
-tokenizer = T5Tokenizer.from_pretrained("google/flan-t5-small")
-
-
 if torch.cuda.is_available():
     device = "cuda"
     print("Using GPU")
@@ -13,7 +10,7 @@ else:
     device = "cpu"
     print("Using CPU")
 
-
+tokenizer = T5Tokenizer.from_pretrained("google/flan-t5-small")
 model = T5ForConditionalGeneration.from_pretrained("roborovski/superprompt-v1", torch_dtype=torch.float16)
 
 model.to(device)
@@ -85,7 +82,7 @@ examples = [
 
 gr.Interface(
     fn=generate,
-    inputs=[precision_model, prompt, system_prompt, max_new_tokens, repetition_penalty, temperature, top_p, top_k, seed],
+    inputs=[prompt, system_prompt, max_new_tokens, repetition_penalty, temperature, top_p, top_k, seed],
     outputs=gr.Textbox(label="Better Prompt"),
     title="SuperPrompt-v1",
     description="Make your prompts more detailed!<br>Model used: https://huggingface.co/roborovski/superprompt-v1<br>Hugging Face Space made by [Nick088](https://linktr.ee/Nick088)",