Update app.py

app.py

@@ -3,8 +3,8 @@ from transformers import GPT2LMHeadModel, GPT2Tokenizer
 import torch
 
 # Initialisierung des Modells und des Tokenizers
-tokenizer = GPT2Tokenizer.from_pretrained("Loewolf/GPT1")
-model = GPT2LMHeadModel.from_pretrained("Loewolf/GPT1")
+tokenizer = GPT2Tokenizer.from_pretrained("Loewolf/GPT_1")
+model = GPT2LMHeadModel.from_pretrained("Loewolf/GPT_1")
 
 def generate_text(prompt, max_length, temperature, top_k, top_p):
     inputs = tokenizer.encode(prompt, return_tensors="pt")