check arg passed

textgen.py

@@ -2,7 +2,8 @@ from aitextgen.TokenDataset import TokenDataset
 from aitextgen.tokenizers import train_tokenizer
 from aitextgen.utils import GPT2ConfigCPU
 from aitextgen import aitextgen
-import json, sys
+import json
+import sys
 
 with open('config.json', 'r') as file:
     json_object = json.load(file)
@@ -10,21 +11,33 @@ with open('config.json', 'r') as file:
 file_name = json_object['file']
 
 # ? generate message using trained model
+
+
 def generate_message():
     ai = aitextgen(model_folder="trained_model",
-                tokenizer_file="aitextgen.tokenizer.json")
+                   tokenizer_file="aitextgen.tokenizer.json")
     ai.generate()
 
 # ? train model using text file
+
+
 def train_ai():
     train_tokenizer(file_name)
     tokenizer_file = "aitextgen.tokenizer.json"
     config = GPT2ConfigCPU()
     ai = aitextgen(tokenizer_file=tokenizer_file, config=config)
-    data = TokenDataset(file_name, tokenizer_file=tokenizer_file, block_size=64)
-    ai.train(data, batch_size=8, num_steps=50000, generate_every=5000, save_every=5000)
-    print("AI has been trained!")
+    data = TokenDataset(
+        file_name, tokenizer_file=tokenizer_file, block_size=64)
+    ai.train(data, batch_size=8, num_steps=50000,
+             generate_every=5000, save_every=5000)
 
-# ? send message to parent JS process
-print(generate_message()) 
-sys.stdout.flush()
+
+match sys.argv[1]:
+    case "generate":
+        # ? send message to parent JS process
+        print(generate_message())
+        sys.stdout.flush()
+    case "train":
+        train_ai()
+    case _:
+        raise NameError("Argument not provided.")