langchain版本后续兼容修改

plugins/gen_data_st.py

@@ -1,7 +1,7 @@
 
 import sentence_transformers
 from langchain.text_splitter import CharacterTextSplitter
-from langchain.docstore.document import Document
+from langchain_community.docstore.document import Document
 import threading
 import pdfplumber
 import re
@@ -17,9 +17,9 @@ from plugins.common import settings
 from plugins.common import CounterLock
 
 if settings.librarys.rtst.backend=="Annoy":
-    from langchain.vectorstores.annoy import Annoy as Vectorstore
+    from langchain_community.vectorstores.annoy import Annoy as Vectorstore
 else:
-    from langchain.vectorstores.faiss import FAISS as Vectorstore
+    from langchain_community.vectorstores.faiss import FAISS as Vectorstore
 source_folder = 'txt'
 source_folder_path = os.path.join(os.getcwd(), source_folder)
 
@@ -36,19 +36,19 @@ vectorstore = None
 model_path = settings.librarys.rtst.model_path
 try:
     if model_path.startswith("http"):#"http://127.0.0.1:3000/"
-        from langchain.embeddings import OpenAIEmbeddings
+        from langchain_community.embeddings import OpenAIEmbeddings
         import os
         os.environ["OPENAI_API_TYPE"] = "open_ai"
         os.environ["OPENAI_API_BASE"] = model_path
         os.environ["OPENAI_API_KEY"] = "your OpenAI key"
 
-        from langchain.embeddings.openai import OpenAIEmbeddings
+        from langchain_community.embeddings.openai import OpenAIEmbeddings
         embeddings = OpenAIEmbeddings(
             deployment="text-embedding-ada-002",
             model="text-embedding-ada-002"
         )
     else:
-        from langchain.embeddings import HuggingFaceEmbeddings
+        from langchain_community.embeddings import HuggingFaceEmbeddings
         embeddings = HuggingFaceEmbeddings(model_name='')
         embeddings.client = sentence_transformers.SentenceTransformer(
             model_path, device="cuda")