Update app.py

app.py

@@ -8,11 +8,18 @@ from langchain.embeddings import HuggingFaceEmbeddings, SentenceTransformerEmbed
 from langchain.vectorstores import FAISS
 
 
-splitter = SentenceTransformersTokenTextSplitter(model_name='dangvantuan/sentence-camembert-large',
-                                                 chunk_size=380,
-                                                 chunk_overlap=100
-                                                )
-embeddings_fun = HuggingFaceEmbeddings(model_name='dangvantuan/sentence-camembert-large')
+model_name = "dangvantuan/sentence-camembert-large"
+model_kwargs = {'device': 'cpu'}
+encode_kwargs = {'convert_to_tensor': True}
+splitter = SentenceTransformersTokenTextSplitter(model_name=model_name,
+                                                 tokens_per_chunk=380,
+                                                 chunk_overlap=100)
+
+embeddings_fun = HuggingFaceEmbeddings(
+    model_name=model_name,
+    model_kwargs=model_kwargs,
+    encode_kwargs=encode_kwargs
+)
 
 
 def read_pdf(file):