لا يتم تنفيذ الكود بشكل صحيح

مرحباً, لا أعلم لماذا يظهر لي خطأ عند تنفيذ الكود

الكود:

import os

import sys

import openai

from langchain_community.document_loaders import TextLoader 

from langchain.indexes import VectorstoreIndexCreator 

from langchain_community.embeddings import OpenAIEmbeddings

from langchain_openai import OpenAI as LangChainOpenAI 

import warnings

warnings.filterwarnings('ignore')

openai.api_key= os.getenv('OPENAI_API_KEY')

prompt = sys.argv[1] 

loader = TextLoader ('data.txt')

loader.load()

embeddings = OpenAIEmbeddings(model = 'text-embedding-ada-002', api_key= openai.api_key)

index = VectorstoreIndexCreator(embedding=embeddings).from_loaders([loader])

llm = LangChainOpenAI(api_key= openai.api_key, temperature=0)

result = index.query(prompt, llm=llm, retriever_kwargs={'search_kwargs' : {'k': 1}})

print(result)

الخطأ 

(booksbot) D:\PYTHON\LLMs\LangChain&OpenAI>python app.py "what kind of books are available in your store?"
Traceback (most recent call last):
  File "D:\PYTHON\LLMs\LangChain&OpenAI\app.py", line 19, in <module>
    index = VectorstoreIndexCreator(embedding=embeddings).from_loaders([loader])
  File "D:\PYTHON\LLMs\LangChain&OpenAI\booksbot\Lib\site-packages\langchain\indexes\vectorstore.py", line 158, in from_loaders
    return self.from_documents(docs)
           ~~~~~~~~~~~~~~~~~~~^^^^^^
  File "D:\PYTHON\LLMs\LangChain&OpenAI\booksbot\Lib\site-packages\langchain\indexes\vectorstore.py", line 171, in from_documents
    vectorstore = self.vectorstore_cls.from_documents(
        sub_docs, self.embedding, **self.vectorstore_kwargs
    )
  File "D:\PYTHON\LLMs\LangChain&OpenAI\booksbot\Lib\site-packages\langchain_core\vectorstores\base.py", line 835, in from_documents
    return cls.from_texts(texts, embedding, metadatas=metadatas, **kwargs)
           ~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\PYTHON\LLMs\LangChain&OpenAI\booksbot\Lib\site-packages\langchain_core\vectorstores\in_memory.py", line 497, in from_texts
    store.add_texts(texts=texts, metadatas=metadatas, **kwargs)
    ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\PYTHON\LLMs\LangChain&OpenAI\booksbot\Lib\site-packages\langchain_core\vectorstores\base.py", line 112, in add_texts
    return self.add_documents(docs, **kwargs)
           ~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^
  File "D:\PYTHON\LLMs\LangChain&OpenAI\booksbot\Lib\site-packages\langchain_core\vectorstores\in_memory.py", line 179, in add_documents
    vectors = self.embedding.embed_documents(texts)
  File "D:\PYTHON\LLMs\LangChain&OpenAI\booksbot\Lib\site-packages\langchain_community\embeddings\openai.py", line 671, in embed_documents
    return self._get_len_safe_embeddings(texts, engine=engine)
           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^
  File "D:\PYTHON\LLMs\LangChain&OpenAI\booksbot\Lib\site-packages\langchain_community\embeddings\openai.py", line 497, in _get_len_safe_embeddings
    response = embed_with_retry(
        self,
        input=tokens[i : i + _chunk_size],
        **self._invocation_params,
    )
  File "D:\PYTHON\LLMs\LangChain&OpenAI\booksbot\Lib\site-packages\langchain_community\embeddings\openai.py", line 120, in embed_with_retry
    return embeddings.client.create(**kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^
AttributeError: 'NoneType' object has no attribute 'create'