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import gradio as gr | |
import os | |
from langgraph import run_multi_agent | |
os.environ["LANGCHAIN_TRACING_V2"] = "true" | |
os.environ["LANGCHAIN_PROJECT"] = "langgraph-multi-agent" | |
def invoke(openai_api_key, prompt): | |
if (openai_api_key == ""): | |
raise gr.Error("OpenAI API Key is required.") | |
os.environ["OPENAI_API_KEY"] = openai_api_key | |
return "TODO" | |
gr.close_all() | |
demo = gr.Interface(fn = invoke, | |
inputs = [gr.Textbox(label = "OpenAI API Key", type = "password", lines = 1), | |
gr.Textbox(label = "Input", value="Fetch the USA's GDP over the past 5 years, then draw a line graph of it. Once you code it up, finish.", lines = 1)], | |
outputs = [gr.Markdown(label = "Output", value="TODO")], | |
title = "Multi-Agent RAG: Chart Generation", | |
description = os.environ["DESCRIPTION"]) | |
demo.launch() |