fixed tokenizr

app.py

@@ -224,7 +224,8 @@ def generate2(
 is_gpu = False 
 device = CUDA(0) if is_gpu else "cpu"
 clip_model, preprocess = clip.load("ViT-B/16", device=device, jit=False)
-tokenizer = GPT2Tokenizer.from_pretrained("imthanhlv/gpt2news")
+from transformers import AutoTokenizer
+tokenizer = AutoTokenizer.from_pretrained("imthanhlv/gpt2news")
 
 def inference(img, text, is_translate):
   prefix_length = 10