Fixing paths

app.py

@@ -15,20 +15,20 @@ from scripts.UBAR_code.interaction.UBAR_interact import bcolors
 
 
 # Initialise agents
-UBAR_checkpoint_path = "cambridge-masters-project/epoch50_trloss0.59_gpt2"
-user_model_checkpoint_path = "cambridge-masters-project/MultiWOZ-full_checkpoint_step340k"
+UBAR_checkpoint_path = "epoch50_trloss0.59_gpt2"
+user_model_checkpoint_path = "MultiWOZ-full_checkpoint_step340k"
 
 sys_model = self_play_sys_model = UBAR_interact.UbarSystemModel(
-    "UBAR_sys_model", UBAR_checkpoint_path, "cambridge-masters-project/scripts/UBAR_code/interaction/config.yaml"
+    "UBAR_sys_model", UBAR_checkpoint_path, "scripts/UBAR_code/interaction/config.yaml"
 )
 user_model = self_play_user_model = multiwoz_interact.NeuralAgent(
-    "user", user_model_checkpoint_path, "cambridge-masters-project/scripts/user_model_code/interaction/config.yaml"
+    "user", user_model_checkpoint_path, "scripts/user_model_code/interaction/config.yaml"
 )
 
 
 # Get goals
 n_goals = 100
-goals_path = "cambridge-masters-project/data/raw/UBAR/multi-woz/data.json"
+goals_path = "data/raw/UBAR/multi-woz/data.json"
 print("Loading goals...")
 goals = multiwoz_interact.read_multiWOZ_20_goals(goals_path, n_goals)
 

scripts/UBAR_code/interaction/config.yaml

@@ -3,7 +3,7 @@ model:
   goal_update:
     finish_inform: "loose" # loose or strict
 
-schema_path: "cambridge-masters-project/scripts/user_model_code/interaction/schema.json"
+schema_path: "scripts/user_model_code/interaction/schema.json"
 
 decode:
   dec_max_len: 1024
@@ -14,10 +14,10 @@ decode:
 use_all_previous_context: False
 
 dbs_path:
-  "attraction": "cambridge-masters-project/data/preprocessed/UBAR/db_processed/attraction_db_processed.json"
-  "hospital": "cambridge-masters-project/data/preprocessed/UBAR/db_processed/hospital_db_processed.json"
-  "hotel": "cambridge-masters-project/data/preprocessed/UBAR/db_processed/hotel_db_processed.json"
-  "police": "cambridge-masters-project/data/preprocessed/UBAR/db_processed/police_db_processed.json"
-  "restaurant": "cambridge-masters-project/data/preprocessed/UBAR/db_processed/restaurant_db_processed.json"
-  "taxi": "cambridge-masters-project/data/preprocessed/UBAR/db_processed/taxi_db_processed.json"
-  "train": "cambridge-masters-project/data/preprocessed/UBAR/db_processed/train_db_processed.json"
+  "attraction": "data/preprocessed/UBAR/db_processed/attraction_db_processed.json"
+  "hospital": "data/preprocessed/UBAR/db_processed/hospital_db_processed.json"
+  "hotel": "data/preprocessed/UBAR/db_processed/hotel_db_processed.json"
+  "police": "data/preprocessed/UBAR/db_processed/police_db_processed.json"
+  "restaurant": "data/preprocessed/UBAR/db_processed/restaurant_db_processed.json"
+  "taxi": "data/preprocessed/UBAR/db_processed/taxi_db_processed.json"
+  "train": "data/preprocessed/UBAR/db_processed/train_db_processed.json"

scripts/user_model_code/interaction/config.yaml

@@ -3,7 +3,7 @@ model:
   goal_update:
     finish_inform: "loose" # loose or strict
 
-schema_path: "cambridge-masters-project/scripts/user_model_code/interaction/schema.json"
+schema_path: "scripts/user_model_code/interaction/schema.json"
 
 decode:
   dec_max_len: 1024

src/crazyneuraluser/UBAR_code/config.py

@@ -10,29 +10,25 @@ class _Config:
     def _multiwoz_ubar_init(self):
         self.gpt_path = "distilgpt2"
 
-        self.vocab_path_train = "cambridge-masters-project/data/preprocessed/UBAR/multi-woz-processed/vocab"
+        self.vocab_path_train = "data/preprocessed/UBAR/multi-woz-processed/vocab"
         self.vocab_path_eval = None
-        self.data_path = "cambridge-masters-project/data/preprocessed/UBAR/multi-woz-processed/"
+        self.data_path = "data/preprocessed/UBAR/multi-woz-processed/"
         self.data_file = "data_for_ubar.json"
-        self.dev_list = "cambridge-masters-project/data/raw/UBAR/multi-woz/valListFile.json"
-        self.test_list = "cambridge-masters-project/data/raw/UBAR/multi-woz/testListFile.json"
+        self.dev_list = "data/raw/UBAR/multi-woz/valListFile.json"
+        self.test_list = "data/raw/UBAR/multi-woz/testListFile.json"
         self.dbs = {
-            "attraction": "cambridge-masters-project/data/preprocessed/UBAR/db_processed/attraction_db_processed.json",
-            "hospital": "cambridge-masters-project/data/preprocessed/UBAR/db_processed/hospital_db_processed.json",
-            "hotel": "cambridge-masters-project/data/preprocessed/UBAR/db_processed/hotel_db_processed.json",
-            "police": "cambridge-masters-project/data/preprocessed/UBAR/db_processed/police_db_processed.json",
-            "restaurant": "cambridge-masters-project/data/preprocessed/UBAR/db_processed/restaurant_db_processed.json",
-            "taxi": "cambridge-masters-project/data/preprocessed/UBAR/db_processed/taxi_db_processed.json",
-            "train": "cambridge-masters-project/data/preprocessed/UBAR/db_processed/train_db_processed.json",
+            "attraction": "data/preprocessed/UBAR/db_processed/attraction_db_processed.json",
+            "hospital": "data/preprocessed/UBAR/db_processed/hospital_db_processed.json",
+            "hotel": "data/preprocessed/UBAR/db_processed/hotel_db_processed.json",
+            "police": "data/preprocessed/UBAR/db_processed/police_db_processed.json",
+            "restaurant": "data/preprocessed/UBAR/db_processed/restaurant_db_processed.json",
+            "taxi": "data/preprocessed/UBAR/db_processed/taxi_db_processed.json",
+            "train": "data/preprocessed/UBAR/db_processed/train_db_processed.json",
         }
-        self.glove_path = "cambridge-masters-project/data/glove/glove.6B.50d.txt"
-        self.domain_file_path = "cambridge-masters-project/data/preprocessed/UBAR/multi-woz-processed/domain_files.json"
-        self.slot_value_set_path = (
-            "cambridge-masters-project/data/preprocessed/UBAR/db_processed/value_set_processed.json"
-        )
-        self.multi_acts_path = (
-            "cambridge-masters-project/data/preprocessed/UBAR/multi-woz-processed/multi_act_mapping_train.json"
-        )
+        self.glove_path = "data/glove/glove.6B.50d.txt"
+        self.domain_file_path = "data/preprocessed/UBAR/multi-woz-processed/domain_files.json"
+        self.slot_value_set_path = "data/preprocessed/UBAR/db_processed/value_set_processed.json"
+        self.multi_acts_path = "data/preprocessed/UBAR/multi-woz-processed/multi_act_mapping_train.json"
         self.exp_path = "to be generated"
         self.log_time = time.strftime("%Y-%m-%d-%H-%M-%S", time.localtime())
 
@@ -140,11 +136,11 @@ class _Config:
 
     def _init_logging_handler(self, mode):
         stderr_handler = logging.StreamHandler()
-        if not os.path.exists("./log"):
-            os.mkdir("./log")
+        if not os.path.exists("log"):
+            os.mkdir("log")
         if self.save_log and self.mode == "train":
             file_handler = logging.FileHandler(
-                "./log/log_{}_{}_{}_{}_sd{}.txt".format(
+                "log/log_{}_{}_{}_{}_sd{}.txt".format(
                     self.log_time,
                     mode,
                     "-".join(self.exp_domains),