no import

gradio_llm_example.py

@@ -8,13 +8,13 @@ import pandas as pd
 # 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(
-         model_id=model,
-         task="text2text-generation",
-         model_kwargs={"max_length": 1500, "load_in_8bit": True},
-     )
+# from langchain import HuggingFacePipeline
+ #def load_llm_model(model: str = "google/flan-t5-large") -> HuggingFacePipeline:
+  #   llm = HuggingFacePipeline.from_model_id(
+   #      model_id=model,
+    #     task="text2text-generation",
+     #    model_kwargs={"max_length": 1500, "load_in_8bit": True},
+     #)
 
 # Define text and title information 
 title1 = "##  🤗 About QA App"