midterm prototype

.env

@@ -1,9 +0,0 @@
-OPENAI_API_KEY = "sk-proj-VlBPJdI2pTDAj1ZuTR1CT3BlbkFJdPixzv6JsSYgSdeU6iUL"
-ANTRHOPIC_API_KEY = "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"
-SERPER_API_KEY = "e1433dbffb60ed98eb675bf110a3af71075787f7"
-PINECONE_API_KEY = "02477b08-f824-4cda-accc-1104bd9c2268"
-LANGCHAIN_API_KEY = "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"
-LANGCHAIN_TRACING_V2=true
-LANGCHAIN_ENDPOINT='https://api.smith.langchain.com'
-TAVILY_API_KEY="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"
-ZIPCODE_API_KEY="myBqK3rhFoNaVN2TKYWUdLplkZzOwh8uwA1GNqc35LocxwJEU10QohlJMCDbZkIx"

app.py

@@ -13,10 +13,6 @@ from langchain.schema.output_parser import StrOutputParser
 from langchain.schema.runnable import RunnablePassthrough
 from uuid import uuid4
 
-from dotenv import load_dotenv, find_dotenv
-
-load_dotenv(find_dotenv())
-
 base_rag_prompt_template = """\
 Only answer questions that are related to the context provided. DO NOT answer a question if it is unrelated to the context provided. If you do not know the answer, say "I do not know the answer".
 

requirements.txt

@@ -5,5 +5,4 @@ langchain_community
 langchain_openai
 qdrant-client
 chainlit
-python-dotenv
 PyMuPDF