Update app.py

app.py

@@ -14,7 +14,7 @@ model = T5ForConditionalGeneration.from_pretrained(model_name)
 def summarize_text(input_text):
     summar_input = 'summarize: '+input_text
     input_tokens = tokenizer(summar_input, return_tensors='pt').input_ids
-    outputs = model.generate(input_tokens)
+    outputs = model.generate(input_tokens, max_new_tokens=100, min_new_tokens=30, do_sample=False)
     return tokenizer.decode(outputs[0], skip_special_tokens=True)
 
 # Interface for the Gradio app