adds the ability of specific n projects and make the version option on models cli upload

Author: lrosemberg

roboflow/roboflowpy.py

@@ -79,10 +79,20 @@ def upload_model(args):
     rf = roboflow.Roboflow(args.api_key)
     workspace = rf.workspace(args.workspace)
 
-    # Deploy to specific version
-    project = workspace.project(args.project)
-    version = project.version(args.version_number)
-    version.deploy(str(args.model_type), str(args.model_path), str(args.filename))
+    if args.version_number is not None:
+        # Deploy to specific version
+        project = workspace.project(args.project)
+        version = project.version(args.version_number)
+        version.deploy(str(args.model_type), str(args.model_path), str(args.filename))
+    else:
+        # Deploy to multiple projects
+        workspace.deploy_model(
+            model_type=str(args.model_type),
+            model_path=str(args.model_path),
+            project_ids=args.project,
+            model_name=str(args.model_name),
+            filename=str(args.filename),
+        )
 
 
 def list_projects(args):
@@ -479,13 +489,15 @@ def _add_upload_model_parser(subparsers):
     upload_model_parser.add_argument(
         "-p",
         dest="project",
-        help="project_id to upload the model into",
+        action="append",  # Allow multiple projects
+        help="project_id to upload the model into (can be specified multiple times)",
     )
     upload_model_parser.add_argument(
         "-v",
         dest="version_number",
         type=int,
-        help="version number to upload the model to",
+        help="version number to upload the model to (optional)",
+        default=None,
     )
     upload_model_parser.add_argument(
         "-t",
@@ -503,6 +515,11 @@ def _add_upload_model_parser(subparsers):
         default="weights/best.pt",
         help="name of the model file",
     )
+    upload_model_parser.add_argument(
+        "-n",
+        dest="model_name",
+        help="name of the model",
+    )
     upload_model_parser.set_defaults(func=upload_model)