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from shiny import ui, reactive, render, App | |
from chemcrow.agents import ChemCrow | |
import shinyswatch | |
app_ui = ui.page_fluid( | |
shinyswatch.theme.slate(), | |
ui.panel_title("ChemCrow UI"), | |
ui.p("An experiment with Shiny for Python and ChemCrow"), | |
ui.br(), | |
ui.row( | |
ui.column(9, ui.input_text("prompt", label=None, width="100%")), | |
ui.column(3, ui.input_action_button("chat", label="Chat", width="100%")), | |
), | |
ui.help_text("Example 1: Propose a novel organicatalyst for enhancing carbon dioxide conversion in carbon capture and utilization processes."), | |
ui.br(), | |
ui.help_text("Example 2: What are the products of the reaction between 2-bromo-2-methylpropane and 4-(4-hydroxyphenyl)butan-2-one. Can this reaction run without problems?"), | |
ui.output_ui("prompt_ui"), | |
ui.output_ui("response_ui"), | |
ui.br(), | |
ui.hr(), | |
ui.div( | |
{"style": "align-items: center; display: flex; flex-direction: column; justify-content: center;"}, | |
ui.img(src="https://github.com/ur-whitelab/chemcrow-public/raw/main/assets/chemcrow_dark_thin.png", width="400px") | |
), | |
ui.br(), | |
ui.markdown(f'ChemCrow was [introduced](https://arxiv.org/abs/2304.05376) by Bran, Andres M., et al. "ChemCrow: Augmenting large-language models with chemistry tools." arXiv preprint arXiv:2304.05376 (2023). This tool is an extension of that work that puts the code into an interactive web app created by [James Wade](https://jameshwade.com) using [Shiny for Python](https://shiny.posit.co/py/). Find the code for the app [here](https://github.com/jameshwade/chemcrow) and the original code [here](https://github.com/ur-whitelab/chemcrow-public).') | |
) | |
def server(input, output, session): | |
def _(): | |
if input.chat(): | |
ui.update_text("prompt", value="") | |
def prompt_ui(): | |
list_ui = [ui.strong("Prompt"), ui.p(input.prompt())] | |
return list_ui | |
def response_ui(): | |
ui.notification_show("Chatting with ChemCrow", type="message") | |
chem_model = ChemCrow(model="gpt-4-0613", temp=0.1, verbose=True) | |
response = chem_model.run(input.prompt()) | |
list_ui = [ui.strong("Thoughts"), | |
ui.markdown(response[0]), | |
ui.strong("Reasoning"), | |
ui.markdown(response[1]), | |
ui.strong("Answer"), | |
ui.markdown(response[2])] | |
return list_ui | |
app = App(app_ui, server) | |