Update app.py

app.py

@@ -3,14 +3,14 @@ from transformers import GPT2LMHeadModel, GPT2Tokenizer
 import torch
 
 # Initialisierung des Modells und des Tokenizers
-tokenizer = GPT2Tokenizer.from_pretrained("Loewolf/GPT_1.5-medium")
-model = GPT2LMHeadModel.from_pretrained("Loewolf/GPT_1.5-medium")
+tokenizer = GPT2Tokenizer.from_pretrained("Loewolf/L-GPT_1")
+model = GPT2LMHeadModel.from_pretrained("Loewolf/L-GPT_1")
 
 def generate_text(prompt):
     input_ids = tokenizer.encode(prompt, return_tensors="pt")
     attention_mask = torch.ones(input_ids.shape, dtype=torch.long)
 
-    max_length = model.config.n_positions if len(input_ids[0]) > model.config.n_positions else len(input_ids[0]) + 70
+    max_length = model.config.n_positions if len(input_ids[0]) > model.config.n_positions else len(input_ids[0]) + 90
     beam_output = model.generate(
         input_ids,
         attention_mask=attention_mask,