Update app/llm.py

app/llm.py

@@ -11,6 +11,25 @@ from pydantic import BaseModel
 from fastapi import APIRouter
 from app.users import current_active_user
 
+from langchain_community.document_loaders import WebBaseLoader
+from langchain_text_splitters import RecursiveCharacterTextSplitter
+from langchain_chroma import Chroma
+from langchain_community.embeddings import GPT4AllEmbeddings
+
+
+def agent(): 
+    loader = WebBaseLoader("https://lilianweng.github.io/posts/2023-06-23-agent/")
+    data = loader.load()
+    text_splitter = RecursiveCharacterTextSplitter(chunk_size=500, chunk_overlap=0)
+    all_splits = text_splitter.split_documents(data)
+
+
+def download_embedding():
+    vectorstore =Chroma.from_documents(documents=all_splits, embedding=GPT4AllEmbeddings())
+    
+
+
+
 class GenModel(BaseModel):
     question: str
     system: str = "You are a helpful medical AI chat assistant. Help as much as you can.Also continuously ask for possible symptoms in order to atat a conclusive ailment or sickness and possible solutions.Remember, response in English."