Update pages/bot.py

pages/bot.py

@@ -19,7 +19,6 @@ from langchain.llms import HuggingFaceHub
 #pip install InstructorEmbedding
 ###############
 
-os.environ['SENTENCE_TRANSFORMERS_HOME'] = './.cache'
 
 # PDF in String umwandeln
 def get_pdf_text(folder_path):
@@ -51,7 +50,7 @@ def get_text_chunks(text):
 
 # nur zum Anlegen des lokalen Verzeichnisses "Store" und speichern der Vektor-Datenbank
 def create_vectorstore_and_store(text_chunks):
-    embeddings = HuggingFaceInstructEmbeddings(model_name="hkunlp/instructor-base", cache_folder = "./.cache")
+    embeddings = HuggingFaceInstructEmbeddings(model_name="hkunlp/instructor-base")
     # Initiate Faiss DB
     vectorstoreDB = FAISS.from_texts(texts=text_chunks,embedding=embeddings)#texts=text_chunks,
     ###
@@ -67,7 +66,7 @@ def create_vectorstore_and_store(text_chunks):
 ########
 
 def get_vectorstore():
-    embeddings = HuggingFaceInstructEmbeddings(model_name="hkunlp/instructor-base", cache_folder = "./.cache")
+    embeddings = HuggingFaceInstructEmbeddings(model_name="hkunlp/instructor-base")
     #Abruf lokaler Vektordatenbank
     save_directory = "Store"
     vectorstoreDB = FAISS.load_local(save_directory, embeddings)