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gradio_llm_example.py

@@ -5,6 +5,8 @@ import os
 import shutil
 # How to RUN code ==> gradio gradio_llm_example.py 
 
+from langchain import HuggingFacePipeline
+
 
 def load_llm_model(model: str = "google/flan-t5-large") -> HuggingFacePipeline:
     llm = HuggingFacePipeline.from_model_id(
@@ -14,7 +16,6 @@ def load_llm_model(model: str = "google/flan-t5-large") -> HuggingFacePipeline:
     )
     return llm
     
-from langchain import HuggingFacePipeline
 
 
 # Define text and title information