Update app.py

app.py

@@ -48,12 +48,12 @@ from langchain_community.vectorstores import FAISS
 embedding_function = SentenceTransformerEmbeddings(model_name="all-MiniLM-L6-v2")
 
 
-
+groq_api_key = os.getenv('groq')
 
 # Define the LLM - We shall use ChatGroq of Groq Platform and LLama70B
 # This llm definition is redundant as now models will be chosen by user
 llm = ChatGroq(
-            api_key="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",
+            api_key=groq_api_key,
             model="llama3-70b-8192",
             # model = 'gemma-7b-it',
             temperature = 0
@@ -89,7 +89,7 @@ retriever2 = vectorstore1.as_retriever(search_type='mmr',search_kwargs={"k": 10}
 
 import os
 
-os.environ["OPENAI_API_KEY"] = "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"  # This is what Crew AI expects
+os.environ["OPENAI_API_KEY"] = groq_api_key