Update app.py

app.py

@@ -17,14 +17,6 @@ embedding_model = SentenceTransformer('all-MiniLM-L6-v2')
 tokenizer = RagTokenizer.from_pretrained("facebook/rag-sequence-nq", use_auth_token=True)
 model = RagSequenceForGeneration.from_pretrained("facebook/rag-sequence-nq", use_auth_token=True)
 
-
-# Initialisierung des Sentence-BERT Modells für die Embeddings
-embedding_model = SentenceTransformer('all-MiniLM-L6-v2')
-
-# Initialisierung von Tokenizer und RAG Modell
-tokenizer = RagTokenizer.from_pretrained("facebook/rag-sequence-nq")
-model = RagSequenceForGeneration.from_pretrained("facebook/rag-sequence-nq")
-
 # Verbindung zur Chroma DB und Laden der Dokumente
 chroma_db = Chroma(embedding_model=embedding_model, persist_directory = PATH_WORK + CHROMA_DIR)