Update app.py

app.py

@@ -25,6 +25,7 @@ from peft import PeftModel
 # ---------------------------------------------------------------------
 BASE_MODEL   = "Qwen/Qwen2.5-VL-7B-Instruct"
 ADAPTER_REPO = "ColdSlim/PetBull-7B"     # 👉 replace with your HF path if different
+ADAPTER_REV  = "master" 
 
 device = "cuda" if torch.cuda.is_available() else "cpu"
 dtype  = torch.float16 if device == "cuda" else torch.float32
@@ -32,7 +33,7 @@ dtype  = torch.float16 if device == "cuda" else torch.float32
 processor = AutoProcessor.from_pretrained(BASE_MODEL, trust_remote_code=True)
 base      = AutoModelForVision2Seq.from_pretrained(
                 BASE_MODEL, torch_dtype=dtype, trust_remote_code=True)
-model     = PeftModel.from_pretrained(base, ADAPTER_REPO)
+model     = PeftModel.from_pretrained(base, ADAPTER_REPO, revision=ADAPTER_REV)
 model.to(device).eval()
 
 # ---------------------------------------------------------------------