Spaces:
Runtime error
Runtime error
File size: 17,628 Bytes
8acb22e |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 |
import os
import gradio as gr
from app_modules.presets import *
from app_modules.overwrites import *
from app_modules.utils import *
from src.item_base import create_items
from src.bidder_base import Bidder
from src.human_bidder import HumanBidder
from src.auctioneer_base import Auctioneer
from auction_workflow import run_auction, make_auction_hash
from utils import chunks, reset_state_list
BIDDER_NUM = 4
items = create_items('data/items_demo.jsonl')
def auction_loop_app(*args):
global items
bidder_list = args[0] # gr.State() -> session state
items_id = args[1]
os.environ['OPENAI_API_KEY'] = args[2] if args[2] != '' else os.environ.get('OPENAI_API_KEY', '')
os.environ['ANTHROPIC_API_KEY'] = args[3] if args[3] != '' else os.environ.get('ANTHROPIC_API_KEY', '')
thread_num = args[4]
item_shuffle = args[5]
enable_discount = args[6]
min_markup_pct = args[7]
args = args[8:]
auction_hash = make_auction_hash()
items_to_bid = [items[i] for i in items_id]
auctioneer = Auctioneer(enable_discount=enable_discount, min_markup_pct=min_markup_pct)
auctioneer.init_items(items_to_bid)
if item_shuffle:
auctioneer.shuffle_items()
# must correspond to the order in app's parameters
input_keys = [
'chatbot',
'model_name',
'desire',
'plan_strategy',
'budget',
'correct_belief',
'enable_learning',
'temperature',
'overestimate_percent',
]
# convert flatten list into a json list
input_jsl = []
for i, chunk in enumerate(chunks(args, len(input_keys))):
js = {'name': f"Bidder {i+1}", 'auction_hash': auction_hash}
for k, v in zip(input_keys, chunk):
js[k] = v
input_jsl.append(js)
for js in input_jsl:
js.pop('chatbot')
if 'human' in js['model_name']:
bidder_list.append(HumanBidder.create(**js))
else:
bidder_list.append(Bidder.create(**js))
yield from run_auction(auction_hash, auctioneer, bidder_list, thread_num, yield_for_demo=True)
with open("assets/custom.css", "r", encoding="utf-8") as f:
customCSS = f.read()
with gr.Blocks(css=customCSS, theme=small_and_beautiful_theme) as demo:
with gr.Row():
gr.HTML(title)
gr.Markdown(description_top)
with gr.Row():
with gr.Column(scale=6):
# item_file = gr.File(label="Upload Item File", file_types=[".jsonl"])
items_checkbox = gr.CheckboxGroup(
choices=[item.info() for item in items[:20]],
label="Items in Auction",
info="Select the items you want to include in the auction.",
value=[item.info() for item in items[:8]],
type="index",
)
with gr.Column(scale=4):
with gr.Row():
openai_key = gr.Textbox(label="OpenAI API Key", value="", type="password", placeholder="sk-..")
anthropic_key = gr.Textbox(label="Anthropic API Key", value="", type="password", placeholder="sk-ant-..")
with gr.Row():
with gr.Row():
item_shuffle = gr.Checkbox(
label="Shuffle Items",
value=False,
info='Shuffle the order of items in the auction.')
enable_discount = gr.Checkbox(
label="Enable Discount",
value=False,
info='When an item fails to sell at auction, it can be auctioned again at a reduced price.')
with gr.Column():
min_markup_pct = gr.Slider(
minimum=0.1,
maximum=0.5,
value=0.1,
step=0.1,
interactive=True,
label='Min Increase',
info="The minimum percentage to increase a bid.",
)
thread_num = gr.Slider(
minimum=1,
maximum=BIDDER_NUM,
value=min(5, BIDDER_NUM),
step=1,
interactive=True,
label='Thread Number',
info="More threads, faster bidding, but will run into RateLimitError quicker."
)
with gr.Row():
bidder_info_gr = []
chatbots = []
monitors = []
textbox_list = []
for i in range(BIDDER_NUM):
with gr.Tab(label=f"Bidder {i+1}"):
with gr.Row().style(equal_height=True):
with gr.Column(scale=6):
with gr.Row():
chatbot = gr.Chatbot(elem_id="chuanhu_chatbot", height=600, label='Auction Log')
input_box = gr.Textbox(label="Human Bidder Input", interactive=False, placeholder="Please wait a moment before engaging in the auction.", visible=False)
chatbots.append(chatbot)
textbox_list.append(input_box)
with gr.Column(scale=4):
with gr.Tab(label=f'Parameters'):
model_name = gr.Dropdown(
choices=[
'rule',
'human',
'gpt-3.5-turbo-0613',
'gpt-3.5-turbo-16k-0613',
'gpt-4-0613',
# 'claude-instant-1.1',
'claude-instant-1.2',
# 'claude-1.3',
'claude-2.0',
# 'chat-bison-001',
],
value='gpt-3.5-turbo-16k-0613',
label="Model Selection",
)
budget = gr.Number(
value=10000,
label='Budget ($)'
)
with gr.Row():
plan_strategy = gr.Dropdown(
choices=[
'none',
'static',
'adaptive',
],
value='adaptive',
label='Planning Strategy',
info='None: no plan. Static: plan only once. Adaptive: replan for the remaining items.'
)
desire = gr.Dropdown(
choices=[
# 'default',
'maximize_profit',
'maximize_items',
# 'specific_items',
],
value='maximize_profit',
label='Desire',
info='Default desires: spending all the budget, stay within budget. All desires include the default one.',
)
overestimate_percent = gr.Slider(
minimum=-100,
maximum=100,
value=10,
step=10,
interactive=True,
label='Overestimate Percent (%)',
info="Overestimate the true value of items by this percentage.",
)
with gr.Row():
correct_belief = gr.Checkbox(
label='Correct Wrong Beliefs',
value=True,
info='Forceful beliefs correction about self and others.',
)
enable_learning = gr.Checkbox(
label='Enable Learning',
value=False,
info='Learn from past auctions for future guidance. Only for adaptive bidder.',
visible=False
)
temperature = gr.Slider(
minimum=0.,
maximum=2.0,
value=0.7,
step=0.1,
interactive=True,
label="Temperature",
)
# deprecated
# special_items = gr.CheckboxGroup(
# value = [],
# label='Special Items',
# info='Special items add 20% value for you personally.',
# visible=False,
# )
# hedge_percent = gr.Slider(
# minimum=0,
# maximum=100,
# value=90,
# step=1,
# interactive=True,
# label='Strategy (Hedging %)',
# info="The maximum percentage of the estimated value to bid on an item.",
# visible=False
# )
with gr.Tab(label='Monitors'):
with gr.Row():
budget_monitor = gr.Number(label='Budget Left ($)', interactive=False)
profit_monitor = gr.Number(label='Profit ($)', interactive=False)
with gr.Row():
engagement_monitor = gr.Number(
label='Engagement',
interactive=False,
info='The number of times the bidder has bid.'
)
failure_monitor = gr.Number(
label='Failed Bids',
info='Out-of-budget, or less than the previous highest bid.',
interactive=False
)
items_own_monitor = gr.DataFrame(
label='Items Owned',
headers=['Item', 'Bid ($)', 'Value ($)'],
datatype=['str', 'number', 'number'],
interactive=False,
)
with gr.Row():
tokens_monitor = gr.Number(
label='Token Used',
interactive=False,
info='Tokens used in the last call.'
)
money_monitor = gr.Number(
label='API Cost ($)',
info='Only OpenAI cost for now.',
interactive=False
)
plan_change_monitor = gr.DataFrame(
label='Plan Changes',
headers=['Round', 'Changed', 'New Plan'],
datatype=['str', 'bool', 'str'],
interactive=False,
)
plot_monitor = gr.Plot(
label='Budget-Profit Plot',
interactive=False
)
with gr.Tab(label='Belief Errors'):
with gr.Row():
self_belief_error_cnt_monitor = gr.Number(
label='Wrong Beliefs of Self',
info='Not knowing its own budget, bid items, or won items.',
interactive=False,
)
other_belief_error_cnt_monitor = gr.Number(
label='Wrong Beliefs of Others',
info='Not knowing other bidders\' profits.',
interactive=False,
)
budget_belief_monitor = gr.DataFrame(
label='Wrong Belief of Budget ($)',
headers=['Round', 'Belief', 'Truth'],
datatype=['str', 'number', 'number'],
interactive=False,
)
profit_belief_monitor = gr.DataFrame(
label='Wrong Belief of Profit ($)',
headers=['Bidder (Round)', 'Belief', 'Truth'],
datatype=['str', 'number', 'number'],
interactive=False,
)
win_bid_belief_monitor = gr.DataFrame(
label='Wrong Belief of Items Won',
headers=['Bidder (Round)',
'Belief', 'Truth'],
datatype=['str', 'str', 'str'],
interactive=False,
)
monitors += [
budget_monitor,
profit_monitor,
items_own_monitor,
tokens_monitor,
money_monitor,
failure_monitor,
self_belief_error_cnt_monitor,
other_belief_error_cnt_monitor,
engagement_monitor,
plot_monitor,
plan_change_monitor,
budget_belief_monitor,
profit_belief_monitor,
win_bid_belief_monitor,
]
bidder_info_gr += [
chatbot,
model_name,
desire,
plan_strategy,
budget,
correct_belief,
enable_learning,
temperature,
overestimate_percent,
]
with gr.Row():
with gr.Column():
startBtn = gr.Button('Start Bidding', variant='primary', interactive=True)
with gr.Column():
clearBtn = gr.Button('New Auction', variant='secondary', interactive=False)
btn_list = [startBtn, clearBtn]
with gr.Accordion(label='Bidding Log (click to open)', open=True):
with gr.Row():
bidding_log = gr.Markdown(value="")
gr.Markdown(description)
bidder_list_state = gr.State([]) # session state
start_args = dict(
fn=auction_loop_app,
inputs=[bidder_list_state, items_checkbox, openai_key, anthropic_key, thread_num, item_shuffle, enable_discount, min_markup_pct] + bidder_info_gr,
outputs=[bidder_list_state] + chatbots + monitors + [bidding_log] + btn_list + textbox_list, # TODO: handle textbox_list interactivity
show_progress=True,
)
start_event = startBtn.click(**start_args)
def bot(user_message, bidder_list, id):
if len(bidder_list) > 0:
bidder = bidder_list[int(id)]
if bidder.need_input:
bidder.input_box = user_message
bidder.semaphore += 1
return '', bidder_list
# handle user input from time to time
for i in range(len(textbox_list)):
_dummy_id = gr.Number(i, visible=False, interactive=False)
textbox_list[i].submit(
bot,
[textbox_list[i], bidder_list_state, _dummy_id],
[textbox_list[i], bidder_list_state])
clearBtn.click(reset_state_list,
inputs=[bidder_list_state] + chatbots + monitors + [bidding_log],
outputs=[bidder_list_state] + chatbots + monitors + [bidding_log],
show_progress=True).then(lambda: gr.update(interactive=True), outputs=[startBtn])
demo.title = 'Auction Arena'
demo.queue(max_size=64, concurrency_count=16).launch(
# server_name='0.0.0.0',
# ssl_verify=False,
# share=True,
# debug=True,
show_api=False,
)
demo.close() |