Update app.py

app.py

@@ -26,25 +26,25 @@ def load():
     embeddings = OpenAIEmbeddings()
     llm = ChatOpenAI(temperature=0, model="gpt-4", streaming=True)
 
-    apple_2022_docs_store = FAISS.load_local(r'data\datastores\apple_2022', embeddings)
-    apple_2021_docs_store = FAISS.load_local(r'data\datastores\apple_2021', embeddings)
-    apple_2020_docs_store = FAISS.load_local(r'data\datastores\apple_2020', embeddings)
+    apple_2022_docs_store = FAISS.load_local(r'data/datastores/apple_2022', embeddings)
+    apple_2021_docs_store = FAISS.load_local(r'data/datastores/apple_2021', embeddings)
+    apple_2020_docs_store = FAISS.load_local(r'data/datastores/apple_2020', embeddings)
     
-    microsoft_2022_docs_store = FAISS.load_local(r'data\datastores\msft_2022', embeddings)
-    microsoft_2021_docs_store = FAISS.load_local(r'data\datastores\msft_2021', embeddings)
+    microsoft_2022_docs_store = FAISS.load_local(r'data/datastores/msft_2022', embeddings)
+    microsoft_2021_docs_store = FAISS.load_local(r'data/datastores/msft_2021', embeddings)
     microsoft_2020_docs_store = FAISS.load_local(r'data\datastores\msft_2020', embeddings)
 
-    amazon_2022_docs_store = FAISS.load_local(r'data\datastores\amzn_2022', embeddings)
-    amazon_2021_docs_store = FAISS.load_local(r'data\datastores\amzn_2021', embeddings)
-    amazon_2020_docs_store = FAISS.load_local(r'data\datastores\amzn_2020', embeddings)
+    amazon_2022_docs_store = FAISS.load_local(r'data/datastores/amzn_2022', embeddings)
+    amazon_2021_docs_store = FAISS.load_local(r'data/datastores/amzn_2021', embeddings)
+    amazon_2020_docs_store = FAISS.load_local(r'data/datastores/amzn_2020', embeddings)
 
-    alphabet_2022_docs_store = FAISS.load_local(r'data\datastores\alphbt_2022', embeddings)
-    alphabet_2021_docs_store = FAISS.load_local(r'data\datastores\alphbt_2021', embeddings)
-    alphabet_2020_docs_store = FAISS.load_local(r'data\datastores\alphbt_2020', embeddings)
+    alphabet_2022_docs_store = FAISS.load_local(r'data/datastores/alphbt_2022', embeddings)
+    alphabet_2021_docs_store = FAISS.load_local(r'data/datastores/alphbt_2021', embeddings)
+    alphabet_2020_docs_store = FAISS.load_local(r'data/datastores/alphbt_2020', embeddings)
 
-    meta_2022_docs_store = FAISS.load_local(r'data\datastores\meta_2022', embeddings)
-    meta_2021_docs_store = FAISS.load_local(r'data\datastores\meta_2021', embeddings)
-    meta_2020_docs_store = FAISS.load_local(r'data\datastores\meta_2020', embeddings)
+    meta_2022_docs_store = FAISS.load_local(r'data/datastores/meta_2022', embeddings)
+    meta_2021_docs_store = FAISS.load_local(r'data/datastores/meta_2021', embeddings)
+    meta_2020_docs_store = FAISS.load_local(r'data/datastores/meta_2020', embeddings)
 
 
     apple_2022_qa = RetrievalQA.from_chain_type(llm=llm, chain_type="stuff", retriever=apple_2022_docs_store.as_retriever(search_kwargs={'k':5}))