update

abstractive_model.py

@@ -1,10 +1,11 @@
 from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
 
-tokenizer = AutoTokenizer.from_pretrained("EE21/Fine-tuned-BART-ToS-Summarization")
-model = AutoModelForSeq2SeqLM.from_pretrained("EE21/Fine-tuned-BART-ToS-Summarization")
+model_name = "EE21/BART-ToS-Summarization"  # Replace with the actual path to your model
+model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
 
 def summarize_with_bart(input_text):
     inputs = tokenizer.encode("summarize: " + input_text, return_tensors="pt", max_length=1024, truncation=True)
     summary_ids = model.generate(inputs, max_length=150, min_length=40, length_penalty=2.0, num_beams=4, early_stopping=True)
     summary = tokenizer.decode(summary_ids[0], skip_special_tokens=True)
-    return summary
+    return summary