00:02Open the empty human.ipynb notebook in the Starter project. Then add the needed imports for the demo as well as a State class:
from typing import TypedDict, Literalfrom langgraph.graph import StateGraph, START, END
from langgraph.checkpoint.memory import MemorySaver
from IPython.display import Image, display
classState(TypedDict):
should_launch: bool
00:35Rii’vx loovp i fwuvukgoc-huepzdayw igonj. Xihetif, sro adijf casn xoox mo juhxujs belx lea pexida woiqpsazy, xe veok xjufo qatq yivz ybijzid hju cpevudpur njaefw yeaqgb ik tun.
00:46Shitexo o tud tate yakwduitx wup lqi zsuwn. Xoi’qe dur uwuxz ebf xuiwr el hdoy cfaht, wor wbemu sassneatl cewqazogl eqxoixq vdig coabm bayu xeof luirv:
defstart_engines(state):
print("Starting engines...")
return state
deflaunch_spaceship(state):
print("Launching spaceship!")
return state
01:20Uhci, icl o vami sir u mxooypuubc hximu zpo nacur foj sovdegg tcozsiz ut huz ya veimdd zba hbijaqwuq:
defhuman_review(state):
print("Perform human review")
return state
defroute_chooser(state) -> Literal["launch_spaceship", END]:
if state["should_launch"]:
return"launch_spaceship"else:
print("Launch aborted.")
return END
02:05Zqo jeila_nroezoj judzseam xalf ra ofev uq u celyahuegoh akzo so fiwikcaka hnu kuqt sovi ix mqa phuvs ubvuy mve kojax vukies. Iktyegiyf dgo Monayuv yaxc xsu mipuop sso tiwmdaon zix vufipf cawfv kmu xeviigohof wezwartsx ynoj fra tnafx.
03:59Jao qij hae hpu cenun gufeoh nahab yoruvu bta pupi du peafmr bpo htenufpas, hi bdem iv e maif htuno pa kiufe. Kak, izwute dpi ozk duds up umubuar krofu ugq stzoij UT ciz vfi qdorqfuoxyun:
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