"""UI for the Math Helper prototype for exploring safety engineering concepts and LLMs. Using Streamlit to provide a python-based front end. """ #Import the libraries for human interaction and visualization. import streamlit as st import logging from helpers.constant import * from helpers.chat import basicChat, guidedMM, mmChat import os import tempfile import requests logger = logging.getLogger(__name__) logging.basicConfig(filename='app.log', level=logging.INFO) def update_model(name): if name == "Llama": st.session_state.model = LLAMA else: st.session_state.model = QWEN if "model" not in st.session_state: st.session_state.model = LLAMA if "systemPrompt" not in st.session_state: st.session_state.systemPrompt = "Model" st.set_page_config(page_title="IMSA Math Helper v0.1") st.title("IMSA Math Helper v0.1") with st.sidebar: # User selects a model model_choice = st.radio("Please select the model:", options=["Llama","QWEN"]) update_model(model_choice) logger.info(f"Model changed to {model_choice}.") systemPrompt = st.radio("Designate a control persona:",options=["Model","Tutor"]) st.session_state.systemPrompt = systemPrompt st.subheader(f"This experience is currently running on {st.session_state.model}") # Initialize chat history if "messages" not in st.session_state: st.session_state.messages = [] # Display chat messages from history on app rerun for message in st.session_state.messages: with st.chat_message(message["role"]): st.markdown(message["content"]) enable = st.checkbox("Enable camera") picture = st.camera_input("Take a picture of your math work", disabled=not enable) if picture is not None: # Save the image to a temporary file temp_dir = tempfile.mkdtemp() temp_image_path = os.path.join(temp_dir, "picture.png") with open(temp_image_path, "wb") as f: f.write(picture.getbuffer()) extIP = requests.get("https://ipv4.icanhazip.com").text + ":8501" img_url = f"http://{extIP}{temp_image_path}" guidedMM(st.session_state.systemPrompt, img_url) else: basicChat()