| import tensorflow as tf | |
| import os | |
| from datetime import datetime | |
| from inference import Inference | |
| products_path = os.path.join("products") | |
| inference = Inference() | |
| raw_query = { | |
| 'user_id': "new_user", # any user will be considered as a new user | |
| 'channel': 'Organic', | |
| 'device_type': 'Desktop', | |
| 'query_text': 'pizza', | |
| 'time': datetime.now().strftime("%Y-%m-%d %H:%M:%S.%f"), # querytime | |
| } | |
| inference.get_recommendations(raw_query) | |
| print(inference.recommendations) | |