chatarena-demo / app.py
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Test removing port from demo.launch() as it seems to not launch correctly (#6)
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import json
import re
from glob import glob
import gradio as gr
from chatarena.arena import Arena, TooManyInvalidActions
from chatarena.backends import BACKEND_REGISTRY
from chatarena.backends.human import HumanBackendError
from chatarena.config import ArenaConfig
from chatarena.database import SupabaseDB, log_arena, log_messages, supabase_available
from chatarena.environments import ENV_REGISTRY
from chatarena.message import Message
css = """#col-container {max-width: 90%; margin-left: auto; margin-right: auto; display: flex; flex-direction: column;}
#header {text-align: center;}
#col-chatbox {flex: 1; max-height: min(750px, 100%);}
#label {font-size: 2em; padding: 0.5em; margin: 0;}
.message {font-size: 1.2em;}
.message-wrap {max-height: min(700px, 100vh);}
"""
# .wrap {min-width: min(640px, 100vh)}
# #env-desc {max-height: 100px; overflow-y: auto;}
# .textarea {height: 100px; max-height: 100px;}
# #chatbot-tab-all {height: 750px; max-height: min(750px, 100%);}
# #chatbox {height: min(750px, 100%); max-height: min(750px, 100%);}
# #chatbox.block {height: 730px}
# .wrap {max-height: 680px;}
# .scroll-hide {overflow-y: scroll; max-height: 100px;}
DEBUG = False
DEFAULT_BACKEND = "openai-chat"
DEFAULT_ENV = "conversation"
MAX_NUM_PLAYERS = 6
DEFAULT_NUM_PLAYERS = 2
def load_examples():
example_configs = {}
# Load json config files from examples folder
example_files = glob("examples/*.json")
for example_file in example_files:
with open(example_file, encoding="utf-8") as f:
example = json.load(f)
try:
example_configs[example["name"]] = example
except KeyError:
print(f"Example {example_file} is missing a name field. Skipping.")
return example_configs
EXAMPLE_REGISTRY = load_examples()
DB = SupabaseDB() if supabase_available else None
def get_moderator_components(visible=True):
name = "Moderator"
with gr.Row():
with gr.Column():
role_desc = gr.Textbox(
label="Moderator role",
lines=1,
visible=visible,
interactive=True,
placeholder=f"Enter the role description for {name}",
)
terminal_condition = gr.Textbox(
show_label=False,
lines=1,
visible=visible,
interactive=True,
placeholder="Enter the termination criteria",
)
with gr.Column():
backend_type = gr.Dropdown(
show_label=False,
visible=visible,
interactive=True,
choices=list(BACKEND_REGISTRY.keys()),
value=DEFAULT_BACKEND,
)
with gr.Accordion(
f"{name} Parameters", open=False, visible=visible
) as accordion:
temperature = gr.Slider(
minimum=0,
maximum=2.0,
step=0.1,
interactive=True,
visible=visible,
label="temperature",
value=0.7,
)
max_tokens = gr.Slider(
minimum=10,
maximum=500,
step=10,
interactive=True,
visible=visible,
label="max tokens",
value=200,
)
return [
role_desc,
terminal_condition,
backend_type,
accordion,
temperature,
max_tokens,
]
def get_player_components(name, visible):
with gr.Row():
with gr.Column():
role_name = gr.Textbox(
line=1,
show_label=False,
interactive=True,
visible=visible,
placeholder=f"Player name for {name}",
)
role_desc = gr.Textbox(
lines=3,
show_label=False,
interactive=True,
visible=visible,
placeholder=f"Enter the role description for {name}",
)
with gr.Column():
backend_type = gr.Dropdown(
show_label=False,
choices=list(BACKEND_REGISTRY.keys()),
interactive=True,
visible=visible,
value=DEFAULT_BACKEND,
)
with gr.Accordion(
f"{name} Parameters", open=False, visible=visible
) as accordion:
temperature = gr.Slider(
minimum=0,
maximum=2.0,
step=0.1,
interactive=True,
visible=visible,
label="temperature",
value=0.7,
)
max_tokens = gr.Slider(
minimum=10,
maximum=500,
step=10,
interactive=True,
visible=visible,
label="max tokens",
value=200,
)
return [role_name, role_desc, backend_type, accordion, temperature, max_tokens]
def get_empty_state():
return gr.State({"arena": None})
with gr.Blocks(css=css) as demo:
state = get_empty_state()
all_components = []
with gr.Column(elem_id="col-container"):
gr.Markdown(
"""# 🏟 ChatArena️<br>
Prompting multiple AI agents to play games in a language-driven environment.
**[Project Homepage](https://github.com/chatarena/chatarena)**""",
elem_id="header",
)
with gr.Row():
env_selector = gr.Dropdown(
choices=list(ENV_REGISTRY.keys()),
value=DEFAULT_ENV,
interactive=True,
label="Environment Type",
show_label=True,
)
example_selector = gr.Dropdown(
choices=list(EXAMPLE_REGISTRY.keys()),
interactive=True,
label="Select Example",
show_label=True,
)
# Environment configuration
env_desc_textbox = gr.Textbox(
show_label=True,
lines=2,
visible=True,
label="Environment Description",
placeholder="Enter a description of a scenario or the game rules.",
)
all_components += [env_selector, example_selector, env_desc_textbox]
with gr.Row():
with gr.Column(elem_id="col-chatbox"):
with gr.Tab("All", visible=True):
chatbot = gr.Chatbot(
elem_id="chatbox", visible=True, show_label=False
)
player_chatbots = []
for i in range(MAX_NUM_PLAYERS):
player_name = f"Player {i + 1}"
with gr.Tab(player_name, visible=(i < DEFAULT_NUM_PLAYERS)):
player_chatbot = gr.Chatbot(
elem_id=f"chatbox-{i}",
visible=i < DEFAULT_NUM_PLAYERS,
label=player_name,
show_label=False,
)
player_chatbots.append(player_chatbot)
all_components += [chatbot, *player_chatbots]
with gr.Column(elem_id="col-config"): # Player Configuration
# gr.Markdown("Player Configuration")
parallel_checkbox = gr.Checkbox(
label="Parallel Actions", value=False, visible=True
)
with gr.Accordion("Moderator", open=False, visible=True):
moderator_components = get_moderator_components(True)
all_components += [parallel_checkbox, *moderator_components]
all_players_components, players_idx2comp = [], {}
with gr.Blocks():
num_player_slider = gr.Slider(
2,
MAX_NUM_PLAYERS,
value=DEFAULT_NUM_PLAYERS,
step=1,
label="Number of players:",
)
for i in range(MAX_NUM_PLAYERS):
player_name = f"Player {i + 1}"
with gr.Tab(
player_name, visible=(i < DEFAULT_NUM_PLAYERS)
) as tab:
player_comps = get_player_components(
player_name, visible=(i < DEFAULT_NUM_PLAYERS)
)
players_idx2comp[i] = player_comps + [tab]
all_players_components += player_comps + [tab]
all_components += [num_player_slider] + all_players_components
def variable_players(k):
k = int(k)
update_dict = {}
for i in range(MAX_NUM_PLAYERS):
if i < k:
for comp in players_idx2comp[i]:
update_dict[comp] = gr.update(visible=True)
update_dict[player_chatbots[i]] = gr.update(visible=True)
else:
for comp in players_idx2comp[i]:
update_dict[comp] = gr.update(visible=False)
update_dict[player_chatbots[i]] = gr.update(visible=False)
return update_dict
num_player_slider.change(
variable_players,
num_player_slider,
all_players_components + player_chatbots,
)
human_input_textbox = gr.Textbox(
show_label=True,
label="Human Input",
lines=1,
visible=True,
interactive=True,
placeholder="Enter your input here",
)
with gr.Row():
btn_step = gr.Button("Start")
btn_restart = gr.Button("Clear")
all_components += [human_input_textbox, btn_step, btn_restart]
def _convert_to_chatbot_output(all_messages, display_recv=False):
chatbot_output = []
for i, message in enumerate(all_messages):
agent_name, msg, recv = (
message.agent_name,
message.content,
str(message.visible_to),
)
new_msg = re.sub(
r"\n+", "<br>", msg.strip()
) # Preprocess message for chatbot output
if display_recv:
new_msg = f"**{agent_name} (-> {recv})**: {new_msg}" # Add role to the message
else:
new_msg = f"**{agent_name}**: {new_msg}"
if agent_name == "Moderator":
chatbot_output.append((new_msg, None))
else:
chatbot_output.append((None, new_msg))
return chatbot_output
def _create_arena_config_from_components(all_comps: dict) -> ArenaConfig:
env_desc = all_comps[env_desc_textbox]
# Initialize the players
num_players = all_comps[num_player_slider]
player_configs = []
for i in range(num_players):
role_name, role_desc, backend_type, temperature, max_tokens = (
all_comps[c]
for c in players_idx2comp[i]
if not isinstance(c, (gr.Accordion, gr.Tab))
)
player_config = {
"name": role_name,
"role_desc": role_desc,
"global_prompt": env_desc,
"backend": {
"backend_type": backend_type,
"temperature": temperature,
"max_tokens": max_tokens,
},
}
player_configs.append(player_config)
# Initialize the environment
env_type = all_comps[env_selector]
# Get moderator config
(
mod_role_desc,
mod_terminal_condition,
moderator_backend_type,
mod_temp,
mod_max_tokens,
) = (
all_comps[c]
for c in moderator_components
if not isinstance(c, (gr.Accordion, gr.Tab))
)
moderator_config = {
"role_desc": mod_role_desc,
"global_prompt": env_desc,
"terminal_condition": mod_terminal_condition,
"backend": {
"backend_type": moderator_backend_type,
"temperature": mod_temp,
"max_tokens": mod_max_tokens,
},
}
env_config = {
"env_type": env_type,
"parallel": all_comps[parallel_checkbox],
"moderator": moderator_config,
"moderator_visibility": "all",
"moderator_period": None,
}
# arena_config = {"players": player_configs, "environment": env_config}
arena_config = ArenaConfig(players=player_configs, environment=env_config)
return arena_config
def step_game(all_comps: dict):
yield {
btn_step: gr.update(value="Running...", interactive=False),
btn_restart: gr.update(interactive=False),
}
cur_state = all_comps[state]
# If arena is not yet created, create it
if cur_state["arena"] is None:
# Create the Arena
arena_config = _create_arena_config_from_components(all_comps)
arena = Arena.from_config(arena_config)
log_arena(arena, database=DB)
cur_state["arena"] = arena
else:
arena = cur_state["arena"]
try:
timestep = arena.step()
except HumanBackendError as e:
# Handle human input and recover with the game update
human_input = all_comps[human_input_textbox]
if human_input == "":
timestep = None # Failed to get human input
else:
timestep = arena.environment.step(e.agent_name, human_input)
except TooManyInvalidActions:
timestep = arena.current_timestep
timestep.observation.append(
Message(
"System",
"Too many invalid actions. Game over.",
turn=-1,
visible_to="all",
)
)
timestep.terminal = True
if timestep is None:
yield {
human_input_textbox: gr.update(
value="", placeholder="Please enter a valid input"
),
btn_step: gr.update(value="Next Step", interactive=True),
btn_restart: gr.update(interactive=True),
}
else:
all_messages = timestep.observation # user sees what the moderator sees
log_messages(arena, all_messages, database=DB)
chatbot_output = _convert_to_chatbot_output(all_messages, display_recv=True)
update_dict = {
human_input_textbox: gr.Textbox.update(value=""),
chatbot: chatbot_output,
btn_step: gr.update(
value="Next Step", interactive=not timestep.terminal
),
btn_restart: gr.update(interactive=True),
state: cur_state,
}
# Get the visible messages for each player
for i, player in enumerate(arena.players):
player_messages = arena.environment.get_observation(player.name)
player_output = _convert_to_chatbot_output(player_messages)
# Update the player's chatbot output
update_dict[player_chatbots[i]] = player_output
if DEBUG:
arena.environment.print()
yield update_dict
def restart_game(all_comps: dict):
cur_state = all_comps[state]
cur_state["arena"] = None
yield {
chatbot: [],
btn_restart: gr.update(interactive=False),
btn_step: gr.update(interactive=False),
state: cur_state,
}
arena_config = _create_arena_config_from_components(all_comps)
arena = Arena.from_config(arena_config)
log_arena(arena, database=DB)
cur_state["arena"] = arena
yield {
btn_step: gr.update(value="Start", interactive=True),
btn_restart: gr.update(interactive=True),
state: cur_state,
}
# Remove Accordion and Tab from the list of components
all_components = [
comp for comp in all_components if not isinstance(comp, (gr.Accordion, gr.Tab))
]
# If any of the Textbox, Slider, Checkbox, Dropdown, RadioButtons is changed, the Step button is disabled
for comp in all_components:
def _disable_step_button(state):
if state["arena"] is not None:
return gr.update(interactive=False)
else:
return gr.update()
if (
isinstance(
comp, (gr.Textbox, gr.Slider, gr.Checkbox, gr.Dropdown, gr.Radio)
)
and comp is not human_input_textbox
):
comp.change(_disable_step_button, state, btn_step)
btn_step.click(
step_game,
set(all_components + [state]),
[chatbot, *player_chatbots, btn_step, btn_restart, state, human_input_textbox],
)
btn_restart.click(
restart_game,
set(all_components + [state]),
[chatbot, *player_chatbots, btn_step, btn_restart, state, human_input_textbox],
)
# If an example is selected, update the components
def update_components_from_example(all_comps: dict):
example_name = all_comps[example_selector]
example_config = EXAMPLE_REGISTRY[example_name]
update_dict = {}
# Update the environment components
env_config = example_config["environment"]
update_dict[env_desc_textbox] = gr.update(value=example_config["global_prompt"])
update_dict[env_selector] = gr.update(value=env_config["env_type"])
update_dict[parallel_checkbox] = gr.update(value=env_config["parallel"])
# Update the moderator components
if "moderator" in env_config:
(
mod_role_desc,
mod_terminal_condition,
moderator_backend_type,
mod_temp,
mod_max_tokens,
) = (
c
for c in moderator_components
if not isinstance(c, (gr.Accordion, gr.Tab))
)
update_dict[mod_role_desc] = gr.update(
value=env_config["moderator"]["role_desc"]
)
update_dict[mod_terminal_condition] = gr.update(
value=env_config["moderator"]["terminal_condition"]
)
update_dict[moderator_backend_type] = gr.update(
value=env_config["moderator"]["backend"]["backend_type"]
)
update_dict[mod_temp] = gr.update(
value=env_config["moderator"]["backend"]["temperature"]
)
update_dict[mod_max_tokens] = gr.update(
value=env_config["moderator"]["backend"]["max_tokens"]
)
# Update the player components
update_dict[num_player_slider] = gr.update(value=len(example_config["players"]))
for i, player_config in enumerate(example_config["players"]):
role_name, role_desc, backend_type, temperature, max_tokens = (
c
for c in players_idx2comp[i]
if not isinstance(c, (gr.Accordion, gr.Tab))
)
update_dict[role_name] = gr.update(value=player_config["name"])
update_dict[role_desc] = gr.update(value=player_config["role_desc"])
update_dict[backend_type] = gr.update(
value=player_config["backend"]["backend_type"]
)
update_dict[temperature] = gr.update(
value=player_config["backend"]["temperature"]
)
update_dict[max_tokens] = gr.update(
value=player_config["backend"]["max_tokens"]
)
return update_dict
example_selector.change(
update_components_from_example,
set(all_components + [state]),
all_components + [state],
)
demo.queue()
demo.launch(debug=DEBUG)