Update app.py

app.py

@@ -11,9 +11,7 @@ import torch
 
 IMAGE_SIZE = 640
 
-model_path = hf_hub_download(
-    "kadirnar/deprem_model_v1", filename="last.pt", revision="main"
-)
+model_id = 'deprem-ml/Binafarktespit-yolo5x-v1-xview'
 
 
 current_device = "cuda" if torch.cuda.is_available() else "cpu"
@@ -21,7 +19,7 @@ model_types = ["YOLOv5", "YOLOv5 + SAHI"]
 # Model
 model = AutoDetectionModel.from_pretrained(
     model_type="yolov5",
-    model_path=model_path,
+    model_path=model_id,
     device=current_device,
     confidence_threshold=0.5,
     image_size=IMAGE_SIZE,