Update app.py

app.py

@@ -11,15 +11,15 @@ from langchain.embeddings.openai import OpenAIEmbeddings
 
 from sentence_transformers import SentenceTransformer
 
-embeddings = OpenAIEmbeddings()
+#embeddings = OpenAIEmbeddings()
 
 embedder = SentenceTransformer('all-mpnet-base-v2')
 
 # Set the OpenAI API key
-openai.api_key = os.getenv("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")
+#openai.api_key = os.getenv("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")
 
 # Load the FAISS index using LangChain's FAISS implementation
-db = FAISS.load_local("Faiss_indexes", embedder, allow_dangerous_deserialization=True)
+db = FAISS.load_local("Faiss", embedder, allow_dangerous_deserialization=True)
 parser = StrOutputParser()
 
 # Load your data (e.g., a DataFrame)