Update app.py

app.py

@@ -163,7 +163,7 @@ def upload_and_train_detection(
     try:
         proj = ws.project(project_slug)
     except Exception as e:
-        if "does not exist" in str(e):
+        if "does not exist" in str(e).lower():
             proj = ws.create_project(
                 project_slug,
                 annotation=project_type,
@@ -192,13 +192,41 @@ def upload_and_train_detection(
         project_type=project_type
     )
 
-    # 4) Generate new version & train
-    version_num = proj.generate_version(settings={
-        "augmentation": {},
-        "preprocessing": {},
-    })
+    # 4) Generate new version & train, with fallback on unsupported-request errors
+    try:
+        version_num = proj.generate_version(settings={
+            "augmentation": {},
+            "preprocessing": {},
+        })
+    except RuntimeError as e:
+        msg = str(e).lower()
+        if "unsupported request" in msg or "does not exist" in msg:
+            suffix = "-v3" if project_slug.endswith("-v2") else "-v2"
+            new_slug = project_slug + suffix
+            proj = ws.create_project(
+                new_slug,
+                annotation=project_type,
+                project_type=project_type,
+                project_license=project_license
+            )
+            project_slug = new_slug
+            ws.upload_dataset(
+                dataset_path,
+                project_slug,
+                project_license=project_license,
+                project_type=project_type
+            )
+            version_num = proj.generate_version(settings={
+                "augmentation": {},
+                "preprocessing": {},
+            })
+        else:
+            raise
+
+    # 5) Kick off training
     proj.version(str(version_num)).train()
 
+    # 6) Return the hosted endpoint
     m = proj.version(str(version_num)).model
     return f"{m['base_url']}{m['id']}?api_key={api_key}"