Update abstractive_model.py

abstractive_model.py

@@ -1,10 +1,8 @@
-from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
+from transformers import pipeline
 
-tokenizer = AutoTokenizer.from_pretrained("facebook/bart-large-cnn")
-model = AutoModelForSeq2SeqLM.from_pretrained("EE21/Fine-tuned-BART-ToS-Summarization")
+summarizer = pipeline("summarization", model="EE21/BART-ToSSimplify")
 
-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
+def summarize_with_pipeline(input_text):
+    # Use the pipeline to generate a summary
+    summary = summarizer(input_text, max_length=150, min_length=40, length_penalty=2.0, num_beams=4, early_stopping=True)
+    return summary[0]['summary_text']