Update model.py

model.py

@@ -14,12 +14,12 @@ import numpy as np
 import logging
 
 # === Pipelines ===
-summarizer = pipeline("summarization", model="csebuetnlp/mT5_multilingual_XLSum")
+summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
 qa_pipeline = pipeline("question-answering", model="distilbert-base-cased-distilled-squad")
 emotion_pipeline = pipeline("text-classification", model="bhadresh-savani/distilbert-base-uncased-emotion", top_k=1)
 
 # === Brief Summarization ===
-def summarize_review(text, max_len=60, min_len=10):
+def summarize_review(text, max_len=80, min_len=20):
     try:
         return summarizer(text, max_length=max_len, min_length=min_len, do_sample=False)[0]["summary_text"]
     except Exception as e: