Update app.py

app.py

@@ -18,15 +18,18 @@ from langchain_chroma import Chroma
 from huggingface_hub import CommitScheduler
 from pathlib import Path
 
+# Retrieve the API key from the environment
+openai_api_key = os.getenv("OPENAI_API_KEY")
+
 # Create Client
 client = OpenAI(
-    api_key="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"
+    api_key="openai_api_key"
 )
 
 # Define the embedding model and the vectorstore
 #embedding_model = SentenceTransformerEmbeddings(model_name='thenlper/gte-small')
 #embedding_model = HuggingFaceEmbeddings(model_name='thenlper/gte-small')
-embedding_model = OpenAIEmbeddings(model="text-embedding-ada-002", openai_api_key="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")
+embedding_model = OpenAIEmbeddings(model="text-embedding-ada-002", openai_api_key="openai_api_key")
 model_name = 'gpt-4o-mini'
 #Load the persisted vectorDB
 collection_name = '10k_embeddings'