Update app.py

app.py

@@ -19,7 +19,11 @@ from langchain_community.vectorstores.faiss import FAISS
 #from langchain.vectorstores import FAISS
 
 
-export OPENAI_API_KEY='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'
+#export OPENAI_API_KEY='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'
+import os
+
+# Set the OPENAI_API_KEY environment variable directly
+os.environ["OPENAI_API_KEY"] = "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"
 
 # db = faiss.read_index('index.pkl')
 #db = pickle.load('index.pkl')
@@ -28,8 +32,19 @@ export OPENAI_API_KEY='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'
 # db.save_local("faiss_index")
 
 # embeddings = OpenAIEmbeddings()
-OpenAIEmbeddings(openai_api_key=OPENAI_API_KEY)
+# OpenAIEmbeddings(openai_api_key=OPENAI_API_KEY)
+
+from pydantic.error_wrappers import ValidationError
+from openai import OpenAIEmbeddings
+
+openai_api_key = os.getenv("OPENAI_API_KEY")
+
+try:
+    embeddings = OpenAIEmbeddings(openai_api_key=openai_api_key)
+except ValidationError as e:
+    print(f"Error: {e}")
 
+#------------------------------------------------------------------------------
 db=FAISS.load_local("faiss_index", embeddings,allow_dangerous_deserialization=True)
 #-----------------------------------------------------------------------------
 def get_response_from_query(db, query, k=3):