Update app.py

app.py

@@ -42,12 +42,10 @@ import pandas as pd
 #     api_version=api_version,
 # )
 
-os.environ[
-    "PINECONE_API_KEY"
-] = "58bc6b86-4add-4459-94d2-1e9cd35b6a1b"
-
-os.environ["OPENAI_API_KEY"] = "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"
-# "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"
+pinecone_key = os.environ["pinecone_key"]
+openai_key = os.getenv("openai_key1")
+client = OpenAI(api_key = openai_key)
+pc = Pinecone(api_key=api_key)
 
 # Build a Pinecone Index and connect to it
 
@@ -55,8 +53,8 @@ from pinecone import Pinecone
 from pinecone import ServerlessSpec
 from llama_index.vector_stores.pinecone import PineconeVectorStore
 
-api_key = os.environ["PINECONE_API_KEY"]
-pc = Pinecone(api_key=api_key)
+
+
 
 from llama_index.vector_stores.pinecone import PineconeVectorStore
 
@@ -73,9 +71,6 @@ from llama_index.embeddings.openai import OpenAIEmbedding
 from llama_index.llms.openai import OpenAI
 
 
-
-# openai.api_key = os.getenv("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")
-os.environ["OPENAI_API_KEY"] =  "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"
 llm = OpenAI(temperature=0, model="gpt-4o")
 embed_model = OpenAIEmbedding(model="text-embedding-ada-002")