my-project-public

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#1	import streamlit as st
#2
#3	from embedchain import App
#4
#5
#6	@st.cache_resource
#7	def embedchain_bot():
#8	return App()
#9
#10
#11	st.title("💬 Chatbot")
#12	st.caption("🚀 An Embedchain app powered by OpenAI!")
#13	if "messages" not in st.session_state:
#14	st.session_state.messages = [
#15	{
#16	"role": "assistant",
#17	"content": """
#18	Hi! I'm a chatbot. I can answer questions and learn new things!\n
#19	Ask me anything and if you want me to learn something do `/add <source>`.\n
#20	I can learn mostly everything. :)
#21	""",
#22	}
#23	]
#24
#25	for message in st.session_state.messages:
#26	with st.chat_message(message["role"]):
#27	st.markdown(message["content"])
#28
#29	if prompt := st.chat_input("Ask me anything!"):
#30	app = embedchain_bot()
#31
#32	if prompt.startswith("/add"):
#33	with st.chat_message("user"):
#34	st.markdown(prompt)
#35	st.session_state.messages.append({"role": "user", "content": prompt})
#36	prompt = prompt.replace("/add", "").strip()
#37	with st.chat_message("assistant"):
#38	message_placeholder = st.empty()
#39	message_placeholder.markdown("Adding to knowledge base...")
#40	app.add(prompt)
#41	message_placeholder.markdown(f"Added {prompt} to knowledge base!")
#42	st.session_state.messages.append({"role": "assistant", "content": f"Added {prompt} to knowledge base!"})
#43	st.stop()
#44
#45	with st.chat_message("user"):
#46	st.markdown(prompt)
#47	st.session_state.messages.append({"role": "user", "content": prompt})
#48
#49	with st.chat_message("assistant"):
#50	msg_placeholder = st.empty()
#51	msg_placeholder.markdown("Thinking...")
#52	full_response = ""
#53
#54	for response in app.chat(prompt):
#55	msg_placeholder.empty()
#56	full_response += response
#57
#58	msg_placeholder.markdown(full_response)
#59	st.session_state.messages.append({"role": "assistant", "content": full_response})
#60

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