Update app.py

app.py

@@ -679,7 +679,7 @@ Now, write your summary. Do not add preceding text before the abstraction, and d
                 SamplingParams(
                     temperature=0.0,
                     top_k=1,
-                    max_tokens=1500,
+                    max_tokens=4000,
                     repetition_penalty=1.2
                 )
             )
@@ -696,7 +696,7 @@ Now, write your summary. Do not add preceding text before the abstraction, and d
             with torch.no_grad():
                 outputs = state.llm_model.generate(
                     input_ids,
-                    max_new_tokens=1500,
+                    max_new_tokens=4000,
                     temperature=0.00,
                     do_sample=True,
                     repetition_penalty=1.2
@@ -774,7 +774,7 @@ def extract_trial_spaces(trial_text: str) -> str:
                 SamplingParams(
                     temperature=0.0,
                     top_k=1,
-                    max_tokens=1500,
+                    max_tokens=4000,
                     repetition_penalty=1.3
                 )
             )