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)
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)