Update app.py

app.py

@@ -11,7 +11,7 @@ model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
 def summarize_text(input_text):
     # Tokenize and generate summary
     input_ids = tokenizer.encode(input_text, return_tensors="pt", max_length=1024, truncation=True)
-    summary_ids = model.generate(input_ids, max_length=5, min_length=1, length_penalty=1.0, num_beams=4, early_stopping=True)
+    summary_ids = model.generate(input_ids, max_length=10, min_length=1, length_penalty=1.0, num_beams=4, early_stopping=True)
     summary = tokenizer.decode(summary_ids[0], skip_special_tokens=True)
     return summary