Update temp file

app.py

@@ -3,9 +3,12 @@ import gradio as gr
 import torch
 from transformers import AutoTokenizer
 
+tokenizer = AutoTokenizer.from_pretrained("gpt2")
+
 @spaces.GPU
 def temp(text):
-    print(text)
+    response = tokenizer(input_text, return_tensors="pt")
+    return response
 
 def greet(input_text, length, function_words, grade_level, sarcasm, formality, voice, persuasive, descriptive, narrative, expository):
     response = (