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import streamlit as st
from langchain_groq import ChatGroq
from apps.agent.constant import GROQ_API_KEY, MODEL_GROQ, CONFIG
from apps.agent.graph import Agent
llm = ChatGroq(model=MODEL_GROQ, api_key=GROQ_API_KEY, temperature=0.1)
agent = Agent(llm=llm)
def get_response(query: str):
response = agent.graph.invoke({"messages": ("user", query)}, CONFIG)
return response["messages"][-1].content
with st.sidebar:
st.header("Prof of Concept")
st.markdown(
"""
This is just a prototype chatbot, the data taken is based on the following sites:
Xano Documentation
- https://docs.xano.com/about
- https://releases.xano.com/?_gl=1*sifgtw*_ga*MTI5NTY3MTk5NS4xNzMwNjMzNjY3*_ga_EJWDZRK3CG*MTczMDgwNjg3Mi43LjEuMTczMDgwNjkyMy45LjAuODUyNzA5OTA4
- https://docs.xano.com/onboarding-tutorial-reference
- https://docs.xano.com/faq
- https://docs.xano.com/about
- https://docs.xano.com/what-xano-includes
- https://docs.xano.com/what-xano-includes/instance
- https://docs.xano.com/what-xano-includes/workspace
- https://docs.xano.com/database/triggers
- https://docs.xano.com/fundamentals/the-development-life-cycle
WeWeb Documentation
- https://docs.weweb.io/start-here/welcome.html
- https://docs.weweb.io/start-here/frequently-asked-questions.html
- https://docs.weweb.io/editor/intro-to-the-editor.html
- https://docs.weweb.io/editor/intro-to-html-css.html
- https://docs.weweb.io/editor/how-to-use-the-add-panel.html
- https://docs.weweb.io/editor/logs.html
- https://docs.weweb.io/editor/copilot/import-figma-designs.html
- https://docs.weweb.io/editor/app-settings/app-settings.html
- https://docs.weweb.io/editor/app-settings/pwa.html
"""
)
st.header("Example Question")
st.markdown(
"""
Note: When asking a question, always add the word **xeno** or **weweb** so that the agent can easily find an accurate answer.
- What is PWA? and how enabling mobile app features in Weweb?
- How installing a PWA on a phone in WeWeb?
- Will the Marketplace have templates that I can use to start my backend with?
- Can I scale my backend with Xano?
"""
)
st.title("AI Agent Assistance")
if "messages" not in st.session_state:
st.session_state.messages = []
for message in st.session_state.messages:
role = message.get("role", "assistant")
with st.chat_message(role):
if "output" in message:
st.markdown(message["output"])
if prompt := st.chat_input("What do you want to know?"):
st.chat_message("user").markdown(prompt)
st.session_state.messages.append({"role": "user", "output": prompt})
with st.spinner("Searching for an answer..."):
output_text = get_response(prompt)
print("Output", output_text)
# Display assistant response and SQL query
st.chat_message("assistant").markdown(output_text) # Kenapa ini tidak muncul di UI?
# Append assistant response to session state
st.session_state.messages.append(
{
"role": "assistant",
"output": output_text,
}
)
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