diff --git a/samples/cpp/speculative_decoding_lm/speculative_decoding_lm.cpp b/samples/cpp/speculative_decoding_lm/speculative_decoding_lm.cpp
index ca5a60ec93..e10228863f 100644
--- a/samples/cpp/speculative_decoding_lm/speculative_decoding_lm.cpp
+++ b/samples/cpp/speculative_decoding_lm/speculative_decoding_lm.cpp
@@ -26,7 +26,6 @@ int main(int argc, char* argv[]) try {
     // Please, set device for main model in `LLMPipeline` constructor and in in `ov::genai::draft_model` for draft.
     std::string main_device = "CPU", draft_device = "CPU";
 
-    // Different devices require different block sizes, so different scheduler configs need to be set.
     ov::genai::LLMPipeline pipe(
         main_model_path,
         main_device,
diff --git a/samples/python/speculative_decoding_lm/speculative_decoding_lm.py b/samples/python/speculative_decoding_lm/speculative_decoding_lm.py
index 919aa50124..217b8a2730 100755
--- a/samples/python/speculative_decoding_lm/speculative_decoding_lm.py
+++ b/samples/python/speculative_decoding_lm/speculative_decoding_lm.py
@@ -14,20 +14,20 @@ def streamer(subword):
         return False
 
 def main():
-    # parser = argparse.ArgumentParser()
-    # parser.add_argument('model_dir')
-    # parser.add_argument('draft_model_dir')
-    # parser.add_argument('prompt')
-    # args = parser.parse_args()
+    parser = argparse.ArgumentParser()
+    parser.add_argument('model_dir')
+    parser.add_argument('draft_model_dir')
+    parser.add_argument('prompt')
+    args = parser.parse_args()
 
     # User can run main and draft model on different devices.
     # Please, set device for main model in `openvino_genai.LLMPipeline` constructor and in openvino_genai.draft_model` for draft.
     main_device = 'CPU'  # GPU can be used as well
     draft_device = 'CPU'
 
-    draft_model = openvino_genai.draft_model("/home/panas/test_models/spec_dec/tiny-llama-1.1b-chat/", draft_device)
+    draft_model = openvino_genai.draft_model(args.draft_model_dir, draft_device)
 
-    pipe = openvino_genai.LLMPipeline("/home/panas/test_models/spec_dec/Llama-2-7b-chat-hf/", main_device, draft_model=draft_model)
+    pipe = openvino_genai.LLMPipeline(args.model_dir, main_device, draft_model=draft_model)
     
     config = openvino_genai.GenerationConfig()
     config.max_new_tokens = 100
@@ -39,7 +39,7 @@ def main():
 
     # Since the streamer is set, the results will be printed 
     # every time a new token is generated and put into the streamer queue.
-    pipe.generate("What is openvino?", config, streamer)
+    pipe.generate(args.prompt, config, streamer)
 
 if '__main__' == __name__:
     main()