Update app.py

app.py

@@ -16,6 +16,7 @@ import transformers
 from transformers import AutoTokenizer, T5EncoderModel
 from translatepy import Translator
 
+
 os.environ["HF_HUB_ENABLE_HF_TRANSFER"] = "1"
 translator = Translator()
 HF_TOKEN = os.environ.get("HF_TOKEN", None)
@@ -70,13 +71,9 @@ tokenizer_3 = AutoTokenizer.from_pretrained(
 if torch.cuda.is_available():
     pipe = StableDiffusion3Pipeline.from_pretrained(
         repo, 
-        tokenizer_3=tokenizer_3, 
-        text_encoder_3=text_encoder_3, 
         torch_dtype=torch.float16).to("cuda")
     pipe2 = StableDiffusion3Img2ImgPipeline.from_pretrained(
         repo, 
-        tokenizer_3=tokenizer_3, 
-        text_encoder_3=text_encoder_3, 
         torch_dtype=torch.float16).to("cuda")
 
 torch.set_float32_matmul_precision("high")