Upload folder using huggingface_hub

app.py

@@ -26,10 +26,14 @@ def start_train():
         API.create_repo(repo_id=f"{experiment_name}", repo_type="dataset",)
         os.system(f"echo 'Created results output repository {experiment_name}'")
     except:
+        os.system("echo 'Already there; skipping.'")
         pass
     # Mark that training is happening so any refresh of the Space doesn't start training again.
     space_variables = API.get_space_variables(repo_id=experiment_name)
-    if 'STATUS' not in space_variables or space_variables['STATUS'] != 'COMPUTING':
+    os.system("echo 'Here are the space variables'")
+    for key, value in space_variables.items():
+        os.system(f"echo '{key}: {value}'")
+    if 'STATUS' not in space_variables or space_variables['STATUS'].value != 'COMPUTING':
         os.system("echo 'Beginning processing.'")
         API.add_space_variable(repo_id=experiment_name, key='STATUS', value='COMPUTING')
         # Handles CUDA OOM errors.
@@ -44,6 +48,6 @@ def start_train():
         os.system("echo 'trying to upload...'")
         API.upload_folder(folder_path="/app", repo_id=f"{experiment_name}", repo_type="dataset",)
         # API.pause_space(experiment_name)
+        return {"Completed": "!"}
     else:
-        os.system("Already training model.")
-    return {"Completed": "!"}
+        os.system("echo 'Already training model.'")