jet-taekyo commited on
Commit
bc0a1d6
1 Parent(s): 86aaf41

modify load_env() for main branch

Browse files
app.py CHANGED
@@ -73,21 +73,6 @@ def process_text_file(file: AskFileResponse)-> List[Document]:
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  document_loader = base_loader(temp_file_path)
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-
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-
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- # if file.name.endswith('.pdf'):
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- # with tempfile.NamedTemporaryFile(mode="w", delete=False, suffix=".pdf") as temp_file:
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- # temp_file_path = temp_file.name
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- # with open(temp_file_path, "wb") as f:
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- # f.write(file.content)
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- # document_loader = PyPDFLoader(temp_file_path)
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- # elif file.name.endswith('.txt'):
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- # with tempfile.NamedTemporaryFile(mode="w", delete=False, suffix=".txt") as temp_file:
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- # temp_file_path = temp_file.name
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- # with open(temp_file_path, "wb") as f:
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- # f.write(file.content)
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- # document_loader = TextLoader(temp_file_path, autodetect_encoding=True)
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-
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  documents = document_loader.load()
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  text_splitter = RecursiveCharacterTextSplitter()
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  splitted_documents = [x.page_content for x in text_splitter.transform_documents(documents)]
 
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  document_loader = base_loader(temp_file_path)
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  documents = document_loader.load()
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  text_splitter = RecursiveCharacterTextSplitter()
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  splitted_documents = [x.page_content for x in text_splitter.transform_documents(documents)]
langchain_wrappers/langchain_chat_models.py CHANGED
@@ -4,10 +4,7 @@ from typing import Optional
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  from langchain_openai import ChatOpenAI
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- import inspect
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- load_dotenv(os.path.join(os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe()))) , '.env'))
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-
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- # load_dotenv()
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  class MyChatOpenAI:
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  @classmethod
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  def from_model(
 
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  from langchain_openai import ChatOpenAI
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+ load_dotenv()
 
 
 
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  class MyChatOpenAI:
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  @classmethod
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  def from_model(
langchain_wrappers/langchain_embedding_models.py CHANGED
@@ -3,10 +3,8 @@ from dotenv import load_dotenv
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  from typing import Optional
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  from langchain_openai.embeddings import OpenAIEmbeddings
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- import inspect
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- load_dotenv(os.path.join(os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe()))) , '.env'))
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- # load_dotenv()
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  class MyOpenAIEmbeddings:
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  @classmethod
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  def from_model(
 
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  from typing import Optional
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  from langchain_openai.embeddings import OpenAIEmbeddings
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+ load_dotenv()
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  class MyOpenAIEmbeddings:
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  @classmethod
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  def from_model(