Update app.py

app.py

@@ -3,8 +3,8 @@ from transformers import LEDForConditionalGeneration, LEDTokenizer
 import torch
 
 # Load the model and tokenizer
-model = LEDForConditionalGeneration.from_pretrained("./summary_generation_led_4")
-tokenizer = LEDTokenizer.from_pretrained("./summary_generation_led_4")
+model = LEDForConditionalGeneration.from_pretrained("./summary_generation_Led_4")
+tokenizer = LEDTokenizer.from_pretrained("./summary_generation_Led_4")
 
 device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
 model = model.to(device)