specify model weights file name for uploading custom weights

Author: ryanjball

roboflow/__init__.py

@@ -14,7 +14,7 @@
 from roboflow.models import CLIPModel, GazeModel  # noqa: F401
 from roboflow.util.general import write_line
 
-__version__ = "1.1.23"
+__version__ = "1.1.24"
 
 
 def check_key(api_key, model, notebook, num_retries=0):

roboflow/core/version.py

@@ -419,11 +419,13 @@ def live_plot(epochs, mAP, loss, title=""):
         return self.model
 
     # @warn_for_wrong_dependencies_versions([("ultralytics", "==", "8.0.196")])
-    def deploy(self, model_type: str, model_path: str) -> None:
-        """Uploads provided weights file to Roboflow
+    def deploy(self, model_type: str, model_path: str, filename: str = "weights/best.pt") -> None:
+        """Uploads provided weights file to Roboflow.
 
         Args:
-            model_path (str): File path to model weights to be uploaded
+            model_type (str): The type of the model to be deployed.
+            model_path (str): File path to the model weights to be uploaded.
+            filename (str, optional): The name of the weights file. Defaults to "weights/best.pt".
         """
 
         supported_models = ["yolov5", "yolov7-seg", "yolov8", "yolov9", "yolonas"]
@@ -457,7 +459,7 @@ def deploy(self, model_type: str, model_path: str) -> None:
                     " Please install it with `pip install torch`"
                 )
 
-        model = torch.load(os.path.join(model_path, "weights/best.pt"))
+        model = torch.load(os.path.join(model_path, filename))
 
         if isinstance(model["model"].names, list):
             class_names = model["model"].names