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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() |