Update app.py

app.py

@@ -9,7 +9,7 @@ def generate_answer(question):
   model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
   inputs = ["Answer this AIML Question: " + question]
   inputs = tokenizer(inputs, max_length=256, truncation=True, return_tensors="pt")
-  output = model.generate(**inputs, num_beams=8, do_sample=True, min_length=1, max_length=256)
+  output = model.generate(**inputs, num_beams=8, do_sample=True, min_length=1, max_length=512)
   decoded_output = tokenizer.batch_decode(output, skip_special_tokens=True)[0]
   predicted_title = nltk.sent_tokenize(decoded_output.strip())[0]
   return predicted_title