Update app.py

app.py

@@ -1,5 +1,8 @@
 import torch
 import spaces
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import numpy as np
+
 print(f"Is CUDA available: {torch.cuda.is_available()}")
 # True
 if torch.cuda.is_available():
@@ -111,11 +114,9 @@ STYLE = """
 }
 """
 
-from transformers import GPT2Tokenizer, AutoModelForCausalLM, AutoTokenizer
-import numpy as np
-
 tokenizer = AutoTokenizer.from_pretrained("gpt2")
 model = AutoModelForCausalLM.from_pretrained("gpt2")
+
 tokenizer.pad_token_id = tokenizer.eos_token_id
 print("Loading finished.")
 def generate_html(token, node):
@@ -226,7 +227,7 @@ with gr.Blocks(
     ),
     css=STYLE,
 ) as demo:
-    text = gr.Textbox(label="Sentence to decode from🪶", value="Today is")
+    text = gr.Textbox(label="Sentence to decode from", value="Today is")
     steps = gr.Slider(label="Number of steps", minimum=1, maximum=10, step=1, value=4)
     beams = gr.Slider(label="Number of beams", minimum=1, maximum=3, step=1, value=3)
     button = gr.Button()