Langchain

app.py

@@ -4,11 +4,12 @@ import gradio as gr
 # from concurrent.futures import ThreadPoolExecutor
 import pdfplumber
 import pandas as pd
+import langchain
 import time
 from cnocr import CnOcr
 
 # from langchain.document_loaders import PyPDFLoader
-
+from langchain.document_loaders import UnstructuredWordDocumentLoader
 from sentence_transformers import SentenceTransformer, models, util
 word_embedding_model = models.Transformer('sentence-transformers/all-MiniLM-L6-v2', do_lower_case=True)
 pooling_model = models.Pooling(word_embedding_model.get_word_embedding_dimension(), pooling_mode='cls')