Update summarizer.py

summarizer.py

@@ -1,18 +1,20 @@
 from transformers import pipeline
+from functools import lru_cache
 
-# Use distilled summarization model
+# Load CPU-friendly summarization model
 summarizer = pipeline(
     "summarization", 
     model="sshleifer/distilbart-cnn-12-6",
-    tokenizer="sshleifer/distilbart-cnn-12-6"
+    framework="pt"
 )
 
+@lru_cache(maxsize=200)
 def summarize_text(text, max_length=100):
-    """Efficient CPU summarization"""
-    if len(text) < 200:
+    """Efficient summarization with caching"""
+    if not text or len(text) < 100:
         return text
     
-    # Truncate to model's max capacity
+    # Truncate to model capacity
     truncated = text[:1024]
     
     return summarizer(