Update app.py

app.py

@@ -18,7 +18,11 @@ def get_sentiment(text):
 summary_pipe = pipeline("summarization", model="facebook/bart-large-cnn")
 
 def get_summary(text):
-    result = summary_pipe(text[:1000])
+    max_len = int(len(text.split()) * 0.35)
+    max_len = max(5, min(max_len, 512))
+    min_len = int(len(text.split()) * 0.2)
+    
+    result = summary_pipe(text, max_length=max_len, min_length=min_len, do_sample=False)
     return result[0]['summary_text']
 
 #3 - text-to-Speech Tab: