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| """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 base64 | |
| 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: | |
| st.info("""This prototype is designed to help students explore the potential and risks of using LLMs to help learn math. | |
| This version (v.01) exists to demonstrate an end-to-end proof of concept for the students to engage with to identify | |
| hazards within the system design. Future iterations will include the constraints they devise to improve the system.""") | |
| # 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 | |
| liveExperience = st.checkbox("Check to enable the live experience.") | |
| 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"]) | |
| if liveExperience: | |
| enable = st.checkbox("Enable camera to upload a picture of your math problem.") | |
| picture = st.camera_input("Take a picture", disabled=not enable) | |
| if picture is not None: | |
| st.image(picture) | |
| picBytes= picture.getvalue() | |
| b64IMG = base64.b64encode(picBytes).decode('utf-8') | |
| img_url = f"data:image/jpeg;base64,{b64IMG}" | |
| guidedMM(st.session_state.systemPrompt, img_url) | |
| else: | |
| st.info("Please select an example image to understand the basic potential of the app before using the live app. You can ask the model a question about these images to see how it responds.") | |
| example = st.selectbox("Select an example image", options=["Example 1", "Example 2"]) | |
| if example == "Example 1": | |
| img_url = "https://huggingface.co/spaces/butterswords/MM_Math_Helper/resolve/main/tempDir/example1.png" | |
| elif example == "Example 2": | |
| img_url = "https://huggingface.co/spaces/butterswords/MM_Math_Helper/resolve/main/tempDir/example2.png" | |
| st.image(img_url) | |
| guidedMM(st.session_state.systemPrompt, img_url) |