Update app.py

app.py

@@ -2,7 +2,7 @@ import gradio as gr
 import torch
 import transformers
 import spaces
-from synthid_text import synthid_mixin, logits_processing
+from synthid_text import  logits_processing
 from synthid_text.detector_mean import mean_score
 
 # Configurations and model selection
@@ -13,11 +13,11 @@ TOP_P = 0.99
 TEMPERATURE= 0.5
 
 # Initialize model and tokenizer
-model = synthid_mixin.SynthIDGemmaForCausalLM.from_pretrained(
-    MODEL_NAME,
-    device_map=DEVICE,
-    torch_dtype=torch.bfloat16,
-)
+# model = synthid_mixin.SynthIDGemmaForCausalLM.from_pretrained(
+#     MODEL_NAME,
+#     device_map=DEVICE,
+#     torch_dtype=torch.bfloat16,
+# )
 tokenizer = transformers.AutoTokenizer.from_pretrained(MODEL_NAME)
 tokenizer.pad_token = tokenizer.eos_token
 tokenizer.padding_side = "left"