diff --git a/benchmarks/analyze_sharegpt.py b/benchmarks/analyze_sharegpt.py
index 4394dbae..19f90e05 100644
--- a/benchmarks/analyze_sharegpt.py
+++ b/benchmarks/analyze_sharegpt.py
@@ -54,7 +54,8 @@ def tokens_in_input_str(s):
         return return_val
 
     convo_numbers = []
-    loaded_share_gpt = json.load(open('/home/hanq/data/ShareGPT_V3_unfiltered_cleaned_split.json', 'r'))
+    # Please update with your own data file path
+    loaded_share_gpt = json.load(open('~/data/ShareGPT_V3_unfiltered_cleaned_split.json', 'r'))
     for example in loaded_share_gpt:
         if len(example['conversations']) < 2:
             continue
diff --git a/run_server.py b/run_server.py
index d6ad06d7..05e7ed09 100644
--- a/run_server.py
+++ b/run_server.py
@@ -68,7 +68,7 @@ def main(argv: Sequence[str]):
   os.environ['XLA_FLAGS'] = '--xla_dump_to=/tmp/xla_logs --xla_dump_hlo_as_text'
   # No devices for local cpu test. A None for prefill and a None for generate.
   devices = server_lib.get_devices()
-  print('HERE 1')
+  print(f"devices: {devices}")
   engine = je.create_pytorch_engine(
         devices=devices,
         tokenizer_path=_TOKENIZER_PATH.value,
@@ -85,7 +85,7 @@ def main(argv: Sequence[str]):
         interleaved_slices=(_PLATFORM.value, ),
         interleaved_engine_create_fns=(lambda a: engine, ),
   )
-  print('HERE 2')
+  print(f"server_config: {server_config}")
 
   # We separate credential from run so that we can unit test it with local credentials.
   # TODO: Add grpc credentials for OSS.
@@ -95,7 +95,7 @@ def main(argv: Sequence[str]):
       config=server_config,
       devices=devices,
   )
-  print('HANQ....')
+  print("Started jetstream_server....") 
   jetstream_server.wait_for_termination()