diff --git a/atomgpt/forward_models/forward_models.py b/atomgpt/forward_models/forward_models.py
index 6597583..817cdb5 100644
--- a/atomgpt/forward_models/forward_models.py
+++ b/atomgpt/forward_models/forward_models.py
@@ -30,6 +30,8 @@
 import sys
 import argparse
 from alignn.pretrained import get_figshare_model
+from atomgpt.inverse_models.utils import get_figlet
+
 
 parser = argparse.ArgumentParser(
     description="Atomistic Generative Pre-trained Transformer."
@@ -279,6 +281,8 @@ def __getitem__(self, idx):
 
 
 def main(config_file="config.json"):
+    figlet = get_figlet()
+    print(figlet)
     print("Running AtomGPT prop predictor.")
     # run_path = os.path.abspath(config_file).split("config.json")[0]
     config = loadjson(config_file)
@@ -772,6 +776,6 @@ def main(config_file="config.json"):
     # output_dir = make_id_prop()
     # output_dir="."
     args = parser.parse_args(sys.argv[1:])
-    run_atomgpt(config_file=args.config_name)
+    main(config_file=args.config_name)
     #    config_file="config.json"
     # )
diff --git a/atomgpt/inverse_models/inverse_models.py b/atomgpt/inverse_models/inverse_models.py
index d523288..8617b65 100644
--- a/atomgpt/inverse_models/inverse_models.py
+++ b/atomgpt/inverse_models/inverse_models.py
@@ -258,6 +258,8 @@ def batch_evaluate(
 
 
 def main(config_file="config.json"):
+    if not torch.cuda.is_available():
+        raise ValueError("Currently model training is possible with GPU only.")
     figlet = get_figlet()
     print(figlet)
     t1 = time.time()
@@ -464,6 +466,6 @@ def main(config_file="config.json"):
     # output_dir = make_id_prop()
     # output_dir="."
     args = parser.parse_args(sys.argv[1:])
-    run_atomgpt_inverse(config_file=args.config_name)
+    main(config_file=args.config_name)
     #    config_file="config.json"
     # )