Update app.py

app.py

@@ -22,7 +22,7 @@ model = AutoModelForCausalLM.from_pretrained(model_name)  # ,use_auth_token=hf_a
 def get_llm_response(input_prompt, content, prompt):
     combined_input = f"{input_prompt}\nContent: {content}\nQuestion: {prompt}\nAnswer:"
     inputs = tokenizer(combined_input, return_tensors="pt")
-    outputs = model.generate(**inputs, max_length=400, num_return_sequences=1)
+    outputs = model.generate(**inputs, max_length=1000, num_return_sequences=1)
     response = tokenizer.decode(outputs[0], skip_special_tokens=True)
 
     # Extract the answer part from the response