Update app.py

app.py

@@ -7,12 +7,12 @@ import spaces
 import torch
 from transformers import AutoModelForCausalLM, AutoTokenizer
 
-tokenizer = AutoTokenizer.from_pretrained("gpt2")
-model = AutoModelForCausalLM.from_pretrained("gpt2")
+tokenizer = AutoTokenizer.from_pretrained("appvoid/palmer-004")
+model = AutoModelForCausalLM.from_pretrained("appvoid/palmer-004")
 
 @spaces.GPU
 def text_generation(input_text, seed):
-  input_ids = tokenizer(input_text, return_tensors="pt").input_ids
+  input_ids = tokenizer(input_text, return_tensors="pt")
   torch.manual_seed(seed) # Max value: 18446744073709551615
   outputs = model.generate(input_ids, do_sample=True, max_length=100)
   generated_text = tokenizer.batch_decode(outputs, skip_special_tokens=True)