Update app.py

app.py

@@ -18,7 +18,7 @@ import gradio as gr
 llm = ChatOpenAI(model_name="gpt-3.5-turbo", openai_api_key="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")
 
 # Initialize global variable for conversation memory
-buffer_memory = ConversationBufferWindowMemory(k=8)
+buffer_memory = ConversationBufferWindowMemory(k=3)
 #buffer_memory = ConversationBufferWindowMemory(k=3)
 
 conversation = ConversationChain(
@@ -29,9 +29,7 @@ conversation = ConversationChain(
 
 context = """ 
 You act as a chatbot to interact with users on their questions about traditional chinese medicine (TCM). \
-Welcome the user in a friendly way and state this disclaimer: \
-It is important to note that a chatbot is not a substitute for medical advice \
-from a qualified healthcare professional. \
+Welcome the user in a friendly way.  \
 You respond in a short, very friendly style. \
 For each text, mark NER tags. \
 Tag categories: location, product. \
@@ -102,7 +100,7 @@ iface = gr.Interface(
     fn=lambda query: conversation.run(prompt_template.format(context=context, query=query)),
     inputs=gr.Textbox(),
     outputs=gr.Textbox(),
-    live=False,
+    live=True,
 )
 
 # Launch Gradio Interface