Update app.py

app.py

@@ -54,8 +54,8 @@ def ask_with_memory(vector_store, query, chat_history=[]):
     llm = ChatOpenAI(model_name='gpt-3.5-turbo', temperature=1, openai_api_key=openai_api_key)
     
     # The retriever is created with metadata filter directly in search_kwargs
-    retriever = vector_store.as_retriever(search_type='similarity', search_kwargs={'k': 3, 'filter': {'source':{'$eq': '/Users/cheynelevesseur/Desktop/Python_Code/Projects/LLM/Intensifying Literacy Instruction - Essential Practices (NATIONAL).pdf'}}})
-
+    retriever = vector_store.as_retriever(search_type='similarity', search_kwargs={'k': 3, 'filter': {'source':{'$eq': 'https://mimtsstac.org/sites/default/files/session-documents/Intensifying%20Literacy%20Instruction%20-%20Essential%20Practices%20%28NATIONAL%29.pdf'}}})
+    
     chain= ConversationalRetrievalChain.from_llm(llm, retriever)
     result = chain({'question': query, 'chat_history': st.session_state['history']})
     # Append to chat history as a dictionary