Update summarize.py

summarize.py

@@ -27,7 +27,7 @@ def load_model_and_tokenizer(model_name: str) -> tuple:
         "Model 4": "pszemraj/long-t5-tglobal-base-16384-booksci-summary-v1",
         "Model 5": "pszemraj/pegasus-x-large-book-summary",
     }
-    selected_model_identifier = MODEL_OPTIONS.get(user_selected_model_name)
+    selected_model_identifier = MODEL_OPTIONS.get(model_name)
     device = "cuda" if torch.cuda.is_available() else "cpu"
     model = AutoModelForSeq2SeqLM.from_pretrained(
         selected_model_identifier,