Update app.py

app.py

@@ -4,8 +4,10 @@ from langchain.text_splitter import CharacterTextSplitter
 from langchain.chains.question_answering import load_qa_chain
 from langchain.llms import OpenAI
 import os
+import openai
 
-os.environ["OPENAI_API_KEY"] = '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'
+# os.environ["OPENAI_API_KEY"] = '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'
+openai.api_key = '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'
 
 with open("guide1.txt") as f:
     hitchhikersguide = f.read()
@@ -17,7 +19,7 @@ embeddings = OpenAIEmbeddings(openai_api_key='sk-syeoJaf5eTFRgJnRtaM8T3BlbkFJQjY
 
 docsearch = Chroma.from_texts(texts, embeddings, metadatas=[{"source": str(i)} for i in range(len(texts))]).as_retriever()
 
-chain = load_qa_chain(OpenAI(temperature=0, openai_api_key='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'), chain_type="stuff")
+chain = load_qa_chain(OpenAI(temperature=0), chain_type="stuff")
 
 def make_inference(query):
     docs = docsearch.get_relevant_documents(query)