Update pages/bot.py

pages/bot.py

@@ -48,8 +48,8 @@ def create_vectorstore_and_store():
     folder_path = './files'
     pdf_text = get_pdf_text(folder_path)
     text_chunks = get_text_chunks(pdf_text)
-    #embeddings = HuggingFaceInstructEmbeddings(model_name="hkunlp/instructor-base")
-    embeddings = HuggingFaceInstructEmbeddings(model_name="aari1995/German_Semantic_STS_V2")
+    embeddings = HuggingFaceInstructEmbeddings(model_name="hkunlp/instructor-base")
+    #embeddings = HuggingFaceInstructEmbeddings(model_name="aari1995/German_Semantic_STS_V2")
     # Initiate Faiss DB
     vectorstoreDB = FAISS.from_texts(texts=text_chunks,embedding=embeddings)#texts=text_chunks,
     # Verzeichnis in dem die VektorDB gespeichert werden soll
@@ -62,8 +62,8 @@ def create_vectorstore_and_store():
 ########
 
 def get_vectorstore():
-    #embeddings = HuggingFaceInstructEmbeddings(model_name="hkunlp/instructor-base")
-    embeddings = HuggingFaceInstructEmbeddings(model_name="aari1995/German_Semantic_STS_V2")
+    embeddings = HuggingFaceInstructEmbeddings(model_name="hkunlp/instructor-base")
+    #embeddings = HuggingFaceInstructEmbeddings(model_name="aari1995/German_Semantic_STS_V2")
     #Abruf lokaler Vektordatenbank
     save_directory = "Store"
     vectorstoreDB = FAISS.load_local(save_directory, embeddings)