Spaces:
Running
Running
Update app.py
Browse files
app.py
CHANGED
@@ -4,9 +4,9 @@ from googletrans import Translator
|
|
4 |
import requests
|
5 |
from dotenv import load_dotenv
|
6 |
import numpy as np
|
7 |
-
from
|
8 |
-
from
|
9 |
-
from
|
10 |
from langchain.text_splitter import CharacterTextSplitter
|
11 |
from langchain.chains.qa_with_sources import load_qa_with_sources_from_chain_type
|
12 |
from langchain.schema import Document
|
@@ -20,9 +20,10 @@ from tqdm import tqdm
|
|
20 |
import torch
|
21 |
import logging
|
22 |
|
23 |
-
#
|
24 |
embedding_function = HuggingFaceEmbeddings()
|
25 |
|
|
|
26 |
logging.basicConfig(level=logging.INFO)
|
27 |
logger = logging.getLogger(__name__)
|
28 |
|
|
|
4 |
import requests
|
5 |
from dotenv import load_dotenv
|
6 |
import numpy as np
|
7 |
+
from langchain_community.embeddings import HuggingFaceEmbeddings
|
8 |
+
from langchain_community.vectorstores import Chroma
|
9 |
+
from langchain_community.document_loaders import UnstructuredPDFLoader
|
10 |
from langchain.text_splitter import CharacterTextSplitter
|
11 |
from langchain.chains.qa_with_sources import load_qa_with_sources_from_chain_type
|
12 |
from langchain.schema import Document
|
|
|
20 |
import torch
|
21 |
import logging
|
22 |
|
23 |
+
# Update the embedding function creation
|
24 |
embedding_function = HuggingFaceEmbeddings()
|
25 |
|
26 |
+
# ... rest of your code ...
|
27 |
logging.basicConfig(level=logging.INFO)
|
28 |
logger = logging.getLogger(__name__)
|
29 |
|