Majd Batal

هل نتعلم في مسارات الذكاء الاصطناعي كيفية إنشاء نموذج من الصفر (في أي مسار) أو نتعلم فقط إستعمال النماذج الموجودة.

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'