update model

app.py

@@ -4,8 +4,8 @@ import torch
 import torch.nn.functional as F
 
 # Load model and tokenizer
-tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen3-Embedding-0.6B")
-model = AutoModel.from_pretrained("Qwen/Qwen3-Embedding-0.6B")
+tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen3-Embedding-4B")
+model = AutoModel.from_pretrained("Qwen/Qwen3-Embedding-4B")
 
 def get_embedding(text):
     inputs = tokenizer(text, return_tensors="pt", truncation=True)