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import base64
import streamlit as st
from chatbot.core import get_chat_response
# Helper function to load and convert image to base64
def load_image_as_base64(image_path):
with open(image_path, "rb") as img_file:
img_bytes = img_file.read()
encoded = base64.b64encode(img_bytes).decode("utf-8")
return f"data:image/png;base64,{encoded}"
# Convert your local avatar image (make sure it's in the same directory or adjust the path)
avatar_base64 = load_image_as_base64("avatar.png")
st.set_page_config(page_title="Kumiko v1 Assistant", layout="wide")
st.markdown(
"""
<style>
.title {
text-align: center;
font-size: 2em;
font-weight: bold;
}
</style>
<h1 class="title">Kumiko v1 Assistant</h1>
""",
unsafe_allow_html=True
)
if "messages" not in st.session_state:
st.session_state.messages = []
# Display chat history
for message in st.session_state.messages:
if message["role"] == "assistant":
avatar = avatar_base64 # Use the base64 avatar for assistant messages
else:
avatar = None
with st.chat_message(message["role"], avatar=avatar):
st.markdown(message["content"])
# Chat input
user_input = st.chat_input("Nhập tin nhắn của bạn...")
if user_input:
st.session_state.messages.append({"role": "user", "content": user_input})
with st.chat_message("user"):
st.markdown(user_input)
response = get_chat_response(user_input)
st.session_state.messages.append({"role": "assistant", "content": response})
with st.chat_message("assistant", avatar=avatar_base64):
st.markdown(response)
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