prepare train.py to automated training

set cryptography lib to the certain version
add manual_run for manual operations, right now it is onnx conversion and upload

manual_run.py

@@ -0,0 +1,31 @@
+import shutil
+from datetime import datetime
+from os import path
+
+from constants import models_dir, prefix, date_format, MODELS_FOLDER
+from api_client import ApiClient
+from augmentation import Augmentator
+from exports import export_onnx
+from security import Security
+
+# Augmentator().augment_annotations()
+#train_dataset(from_scratch=True)
+
+# resume_training('/azaion/dev/ai-training/runs/detect/train12/weights/last.pt')
+
+result_dir = '/azaion/dev/ai-training/runs/detect/train12'
+model_dir = path.join(models_dir, f'{prefix}2025-05-18')
+shutil.copytree(result_dir, model_dir)
+
+model_path = path.join(models_dir, f'{prefix[:-1]}.pt')
+shutil.copy(path.join(model_dir, 'weights', 'best.pt'), model_path)
+
+api_client = ApiClient()
+onnx_path = export_onnx(model_path)
+print(f'Conversion done: onnx path: {onnx_path}')
+
+with open(onnx_path, 'rb') as binary_file:
+    onnx_bytes = binary_file.read()
+
+key = Security.get_model_encryption_key()
+api_client.upload_big_small_resource(onnx_bytes, onnx_path, MODELS_FOLDER, key)