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import os
import streamlit as st
from PIL import Image
from huggingface_hub import Repository
from huggingface_hub import login
login(token = os.environ['HF_TOKEN'])
repo = Repository(
local_dir="agent_function",
repo_type="dataset",
clone_from=os.environ['DATASET'],
token=True
)
repo.git_pull()
from agent_function.function import generate_answer
Image.MAX_IMAGE_PIXELS = None
st.set_page_config(layout="wide")
st.title("Mapbot")
col1, col2 = st.columns([1 ,2])
if "messages" not in st.session_state:
st.session_state.messages = []
if "overlay" not in st.session_state:
st.session_state.overlay = Image.open(f'agent_function/base.png')
with col1:
messages_box = st.container(height=500)
# Display chat messages from history on app rerun
for message in st.session_state.messages:
with messages_box.chat_message(message["role"]):
st.markdown(message["content"])
# React to user input
if prompt := st.chat_input("What is up?"):
messages_box.chat_message("user").markdown(prompt)
st.session_state.messages.append({"role": "user", "content": prompt})
response = generate_answer(prompt)
with messages_box.chat_message("assistant"):
st.markdown(response)
# Add assistant response to chat history
st.session_state.messages.append({"role": "assistant", "content": response})
with col2:
with st.spinner():
st.image(st.session_state.overlay) |