fix: add trupple

run_localGPT.py

@@ -35,7 +35,6 @@ from constants import (
 )
 
 
-
 def load_model(device_type, model_id, model_basename=None, LOGGING=logging, stream=False):
     """
     Select a model for text generation using the HuggingFace library.
@@ -77,6 +76,7 @@ def load_model(device_type, model_id, model_basename=None, LOGGING=logging, stre
 
     # Create a pipeline for text generation
 
+
     streamer = TextStreamer(tokenizer, skip_prompt=True)
 
     pipe = pipeline(
@@ -95,7 +95,7 @@ def load_model(device_type, model_id, model_basename=None, LOGGING=logging, stre
     local_llm = HuggingFacePipeline(pipeline=pipe)
     logging.info("Local LLM Loaded")
 
-    return (local_llm, streamer)
+    return local_llm, streamer
 
 
 def retrieval_qa_pipline(device_type, use_history, promptTemplate_type="llama"):