codebasics / langchain

Tutorial for langchain LLM library
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error seems to propagate through several modules from langchain and openai #7

Open Uzairbaqi opened 8 months ago

Uzairbaqi commented 8 months ago

File "C:\Users\Sky IT Tec\anaconda3\Lib\site-packages\streamlit\runtime\scriptrunner\script_runner.py", line 565, in _run_script exec(code, module.dict) File "C:\Users\Sky IT Tec\Documents\2_news_research_tool_project\main.py", line 43, in vectorstore_openai = FAISS.from_documents(docs, embeddings) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\Sky IT Tec\anaconda3\Lib\site-packages\langchain\vectorstores\base.py", line 417, in from_documents return cls.from_texts(texts, embedding, metadatas=metadatas, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\Sky IT Tec\anaconda3\Lib\site-packages\langchain\vectorstores\faiss.py", line 602, in from_texts embeddings = embedding.embed_documents(texts) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\Sky IT Tec\anaconda3\Lib\site-packages\langchain\embeddings\openai.py", line 483, in embed_documents return self._get_len_safe_embeddings(texts, engine=self.deployment) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\Sky IT Tec\anaconda3\Lib\site-packages\langchain\embeddings\openai.py", line 367, in _get_len_safe_embeddings response = embed_with_retry( ^^^^^^^^^^^^^^^^^ File "C:\Users\Sky IT Tec\anaconda3\Lib\site-packages\langchain\embeddings\openai.py", line 100, in embed_with_retry retry_decorator = _create_retry_decorator(embeddings) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\Sky IT Tec\anaconda3\Lib\site-packages\langchain\embeddings\openai.py", line 47, in _create_retry_decorator retry_if_exception_type(openai.error.Timeout)