Update app.py

app.py

@@ -83,7 +83,14 @@ def summarize_text(text, input_language="English", output_language="English"):
     
     # Summarize the text using mBART
     inputs = multilingual_summarization_tokenizer(text, return_tensors='pt', padding=True, truncation=True)
-    summary_ids = multilingual_summarization_model.generate(inputs['input_ids'], num_beams=4, max_length=200, early_stopping=True)
+    summary_ids = multilingual_summarization_model.generate(
+        inputs['input_ids'],
+        num_beams=6,        # Increase the number of beams for better quality
+        max_length=1024,   # Increase the maximum length
+        min_length=256,    # Set a minimum length for the summary
+        length_penalty=2.0,  # Adjust length penalty to control the length of the summary
+        early_stopping=True
+    )
     summary = multilingual_summarization_tokenizer.decode(summary_ids[0], skip_special_tokens=True)
     
     # Translate summary to the output language if needed