Use own copy of embeddings model.

app.py

@@ -27,7 +27,8 @@ splitter = RecursiveCharacterTextSplitter(chunk_size=CHUNK_SIZE, chunk_overlap=0
 chunks = splitter.split_documents(documents)
 
 print("Creating database")
-embeddings = HuggingFaceEmbeddings()
+# Use own copy of model as a workaround for sentence-transformers' being down.
+embeddings = HuggingFaceEmbeddings(model_name="3gg/all-mpnet-base-v2")
 db = FAISS.from_documents(chunks, embeddings)
 
 print("Loading model")