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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 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 | |
liveExperience = st.checkbox("Check for live experience, currently impoeverished.") | |
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: | |
st.warning("The experience is currently nonfunctional as I attempt to figure out how to expose the image URL to the HF inference API via streamlit...") | |
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 | |
img_url = f"https://{extIP}:8501{temp_image_path}" | |
guidedMM(st.session_state.systemPrompt, img_url) | |
else: | |
st.info("Please select an example image to understand the basic potential of the app while I try to figure out how to serve images correctly to the completions API.") | |
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) |