Update app.py

app.py

@@ -55,9 +55,9 @@ def load_pipeline(model_name):
         return PIPELINES[model_name]
     repo = MODELS[model_name]["repo_id"]
     if model_name == "secgpt-mini":
-        tokenizer = AutoTokenizer.from_pretrained(repo, trust_remote_code=True)
-    else:
         tokenizer = AutoTokenizer.from_pretrained(repo, trust_remote_code=True, subfolder="models")
+    else:
+        tokenizer = AutoTokenizer.from_pretrained(repo, trust_remote_code=True
     for dtype in (torch.bfloat16, torch.float16, torch.float32):
         try:
             if model_name == "secgpt-mini":