# import altair as alt
# import numpy as np
# import pandas as pd
# import streamlit as st

# """
# # Welcome to Streamlit!

# Edit `/streamlit_app.py` to customize this app to your heart's desire :heart:.
# If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
# forums](https://discuss.streamlit.io).

# In the meantime, below is an example of what you can do with just a few lines of code:
# """

# num_points = st.slider("Number of points in spiral", 1, 10000, 1100)
# num_turns = st.slider("Number of turns in spiral", 1, 300, 31)

# indices = np.linspace(0, 1, num_points)
# theta = 2 * np.pi * num_turns * indices
# radius = indices

# x = radius * np.cos(theta)
# y = radius * np.sin(theta)

# df = pd.DataFrame({
#     "x": x,
#     "y": y,
#     "idx": indices,
#     "rand": np.random.randn(num_points),
# })

# st.altair_chart(alt.Chart(df, height=700, width=700)
#     .mark_point(filled=True)
#     .encode(
#         x=alt.X("x", axis=None),
#         y=alt.Y("y", axis=None),
#         color=alt.Color("idx", legend=None, scale=alt.Scale()),
#         size=alt.Size("rand", legend=None, scale=alt.Scale(range=[1, 150])),
#     ))


import streamlit as st
import asyncio
import nest_asyncio
from your_chatbot_module import MCP_ChatBot  # Assuming you put your chatbot code in a module

nest_asyncio.apply()

@st.cache_resource
def get_chatbot_instance():
    api_key = st.secrets["LLAMA_API_KEY"]  # Use Hugging Face Secrets for API key
    return MCP_ChatBot(api_key=api_key)

chatbot = get_chatbot_instance()

st.title("MCP Chatbot on Hugging Face Spaces")

user_input = st.text_input("Enter your query:")

if st.button("Send") and user_input:
    # Run the async chatbot query in the event loop
    response_steps = asyncio.run(chatbot.connect_and_process(user_input))
    # Extract final answer from steps
    final_answer = ""
    for step in response_steps:
        if step.get("type") == "final_answer":
            final_answer = step.get("content")
            break
    st.markdown("### Response:")
    st.write(final_answer)