without model

gradio_llm_example.py

@@ -5,18 +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(
-        model_id=model,
-        task="text2text-generation",
-        model_kwargs={"max_length": 1500, "load_in_8bit": True},
-    )
-    return llm
-    
-
 
 # Define text and title information 
 title1 = "##  </br> </br> </br> 🤗💬 QA App"