Update app.py

app.py

@@ -8,6 +8,11 @@ from langchain_community.llms import HuggingFacePipeline
 
 #Konstanten
 ANTI_BOT_PW = os.getenv("CORRECT_VALIDATE")
+PATH_WORK = "."
+CHROMA_DIR  = "/chroma/kkg"
+CHROMA_PDF = './chroma/kkg/pdf'
+CHROMA_WORD = './chroma/kkg/word'
+CHROMA_EXCEL = './chroma/kkg/excel'
 
 # Hugging Face Token direkt im Code setzen
 hf_token = os.getenv("HF_READ")
@@ -16,8 +21,8 @@ hf_token = os.getenv("HF_READ")
 embedding_model = SentenceTransformer('all-MiniLM-L6-v2')
 
 # Initialisierung von Tokenizer und RAG Modell mit Token
-tokenizer = RagTokenizer.from_pretrained("facebook/rag-sequence-nq", use_auth_token=hf_token)
-model = RagSequenceForGeneration.from_pretrained("facebook/rag-sequence-nq", use_auth_token=hf_token)
+tokenizer = RagTokenizer.from_pretrained("facebook/rag-sequence-nq", token=hf_token)
+model = RagSequenceForGeneration.from_pretrained("facebook/rag-sequence-nq", token=hf_token)
 
 # Verbindung zur Chroma DB und Laden der Dokumente
 chroma_db = Chroma(embedding_model=embedding_model, persist_directory = PATH_WORK + CHROMA_DIR)