Update app.py

app.py

@@ -20,7 +20,7 @@ embeddings = SentenceTransformer("sentence-transformers/all-mpnet-base-v2")
 texts = [doc.page_content for doc in texts]  # Get the text content from the documents
 embeddings = embeddings.encode(texts)  # Get the embeddings for the texts
 
-vector_store = FAISS.from_texts(texts, embeddings)
+vector_store = FAISS.from_documents(texts, embeddings)
 
 # Initialize the HuggingFaceHub LLM
 llm = HuggingFaceHub(repo_id="HuggingFaceH4/zephyr-7b-beta", model_kwargs={"temperature": None, "top_p": None})