Update app.py

app.py

@@ -97,7 +97,7 @@ def convert_seg_to_bbox(api_key: str, dataset_url: str):
         if not os.path.isfile(src):
             continue
         shutil.copy(src, os.path.join(img_out, fname))
-        with open(os.path.join(lbl_out, fname.rsplit('.',1)[0]+".txt"), 'w') as lf:
+        with open(os.path.join(lbl_out, fname.rsplit('.',1)[0] + ".txt"), 'w') as lf:
             lf.write("\n".join(annos.get(img_id, [])))
 
     # build before/after samples
@@ -152,12 +152,18 @@ def upload_and_train_detection(
         )
 
     # upload the YOLO dataset
-    ws.upload_dataset(dataset_path, project_slug,
-                      project_license=project_license,
-                      project_type=project_type)
+    ws.upload_dataset(
+        dataset_path,
+        project_slug,
+        project_license=project_license,
+        project_type=project_type
+    )
 
-    # generate a new version (must pass settings arg—even if empty)
-    version_num = proj.generate_version(settings={})
+    # generate a new version (must pass both keys—even if empty)
+    version_num = proj.generate_version(settings={
+        "augmentation": {},
+        "preprocessing": {},
+    })
 
     # train it
     proj.version(str(version_num)).train()