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import gradio as gr
import numpy as np
ENFORCE_RULES = False
MAX_EVENTS = 10
board_state = np.full((3, 3), "")
turn_state = ["X", 0]
event_log = []
def place(evt: gr.SelectData, gr_request: gr.Request):
if evt.value:
return board_state, "\n".join(event_log)
client_id = hash(gr_request.client.host[0])
if ENFORCE_RULES and client_id == turn_state[1]:
return board_state, update_events("may not move twice in a row")
turn_state[1] = client_id
row, column = evt.index
board_state[row, column] = turn_state[0]
if (board_state[row,:] == turn_state[0]).all() or (board_state[:,column] == turn_state[0]).all():
return board_state, update_events("has won!!!!")
turn_state[0] = "O" if turn_state[0] == "X" else "X"
return board_state, update_events("made the last move")
def reset(gr_request: gr.Request):
board_state.fill("")
turn_state[0] = "X"
turn_state[1] = hash(gr_request.client.host[0])
return board_state, update_events("has reset the board state")
def update_events(message=None):
if message:
event_log.append(f"player {turn_state[1] % 10000} {message}, {turn_state[0]} moves next")
if len(event_log) > MAX_EVENTS:
event_log.pop(0)
return "\n".join(event_log)
def refresh_display():
return board_state, "\n".join(event_log)
with gr.Blocks(analytics_enabled=False) as demo:
events = gr.Textbox(interactive=False, label="Turn")
board = gr.Dataframe(interactive=False, type="array")
board.select(place, [], [board, events])
reset_button = gr.Button(value="Reset Board")
reset_button.click(reset, [], [board, events])
demo.load(refresh_display, [], [board, events], every=10, show_progress=False)
demo.queue()
demo.launch() |