import streamlit as st
import json

# Page config
st.set_page_config(page_title="Chatbot Test", layout="wide")

# Initialize chat history
if "messages" not in st.session_state:
    st.session_state.messages = []

# Load knowledge base
def load_knowledge_base():
    try:
        with open("knowledge_base.json", "r", encoding="utf-8") as f:
            return json.load(f)
    except Exception as e:
        st.error(f"Error loading knowledge base: {str(e)}")
        return {}

kb = load_knowledge_base()

# Main UI
st.title("Portfolio Chat Test")

# Chat interface
for message in st.session_state.messages:
    with st.chat_message(message["role"]):
        st.write(message["content"])

# Chat input
if prompt := st.chat_input("Ask me anything..."):
    # Add user message
    st.session_state.messages.append({"role": "user", "content": prompt})
    
    # Generate simple response from knowledge base
    if "projects" in kb and "project" in prompt.lower():
        response = "Here are my projects: " + ", ".join(kb["projects"].keys())
    elif "skills" in prompt.lower():
        response = "I have experience in Python, ML, and Data Analysis."
    else:
        response = "I understand you're asking about: " + prompt
    
    # Add assistant response
    with st.chat_message("assistant"):
        st.write(response)
    st.session_state.messages.append({"role": "assistant", "content": response})

# Clear chat button
if st.sidebar.button("Clear Chat"):
    st.session_state.messages = []
    st.rerun()