decrease

app.py

@@ -33,7 +33,7 @@ summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
 
 
 
-def split_into_token_chunks(text: str, max_tokens: int = 6000) -> list:
+def split_into_token_chunks(text: str, max_tokens: int = 1000) -> list:
     """
     Splits a long string into chunks of a specified maximum number of tokens (words).
 
@@ -110,7 +110,7 @@ def ai_ppt(data):
     summary_texts = []
     listOfString = split_into_token_chunks("".join(data)) 
     for x in listOfString:
-        summary = summarizer("".join(data), max_length=700, min_length=100, truncation=True,do_sample=False)
+        summary = summarizer("".join(data), max_length=500, min_length=120, truncation=True,do_sample=False)
         summary_texts .append([item['summary_text'] for item in summary])
         print(summary_texts)