Update app.py

app.py

@@ -53,7 +53,7 @@ if "memory" not in st.session_state:
     st.session_state.memory = ConversationBufferWindowMemory(k=2, memory_key="chat_history",return_messages=True) 
 
 embeddings = HuggingFaceEmbeddings(model_name="nomic-ai/nomic-embed-text-v1",model_kwargs={"trust_remote_code":True, "revision":"289f532e14dbbbd5a04753fa58739e9ba766f3c7"})
-db = FAISS.load_local("medchat_db", embeddings)
+db = FAISS.load_local("medchat_db", embeddings, allow_dangerous_deserialization=True)
 db_retriever = db.as_retriever(search_type="similarity",search_kwargs={"k": 4})
 
 prompt_template = """<s>[INST]Follow these instructions carefully: You are a medical practitioner chatbot providing accurate medical information, adopting a doctor's perspective in your responses. Utilize the provided context, chat history, and question, choosing only the necessary information based on the user's query. Don't answer to any questions if in contexts, Avoid generating your own questions and answers. Do not reference chat history if irrelevant to the current question; only use it for similar-related queries. Prioritize the given context when searching for relevant information, emphasizing clarity and conciseness in your responses. If multiple medicines share the same name but have different strengths, ensure to mention them. Exclude any mention of medicine costs. Stick to context directly related to the user's question, and use your knowledge base to answer inquiries outside the given context. Abstract and concise responses are key; do not repeat the chat template in your answers. If you lack information, simply state that you don't know.