From 73634ed1d8390bc828edadc13df271cb723762b6 Mon Sep 17 00:00:00 2001 From: Xuhui Zhou Date: Wed, 24 Apr 2024 16:31:50 -0400 Subject: [PATCH] Leaderboard and Unified UI (#61) * Update start_app.sh to use gradio instead of python app.py * fixed action typing error --------- Co-authored-by: Jasonqi146 --- README.md | 13 ++ app.py | 379 ++++++--------------------------- data_dir/models_vs_gpt35.jsonl | 4 + images/banner.png | Bin 0 -> 1778967 bytes requirements.txt | 28 +-- sotopia_space/_header.md | 4 + sotopia_space/benchmark.py | 70 ++++++ sotopia_space/chat.py | 284 ++++++++++++++++++++++++ sotopia_space/constants.py | 39 ++++ sotopia_space/utils.py | 223 +++++++++++++++++++ start_app.sh | 2 +- ui_constants.py | 191 +++++++++++++++++ 12 files changed, 908 insertions(+), 329 deletions(-) create mode 100644 data_dir/models_vs_gpt35.jsonl create mode 100644 images/banner.png create mode 100644 sotopia_space/_header.md create mode 100644 sotopia_space/benchmark.py create mode 100644 sotopia_space/chat.py create mode 100644 sotopia_space/constants.py create mode 100644 sotopia_space/utils.py create mode 100644 ui_constants.py diff --git a/README.md b/README.md index 9f7e201..011e9ea 100644 --- a/README.md +++ b/README.md @@ -11,3 +11,16 @@ license: apache-2.0 --- This is a synced repository with a Huggingface Space for the Sotopia project [space](https://huggingface.co/spaces/wdplx/Sotopia-demo) + +## Getting Started + +```bash +conda create -n sotopia-space python=3.11; conda activate sotopia-space +python -m pip install -r requirements.txt +``` + +To run the app, run the following command: + +```bash +bash start_app.sh +``` diff --git a/app.py b/app.py index 2bac33e..8d6f2da 100644 --- a/app.py +++ b/app.py @@ -1,332 +1,83 @@ import os -from collections import defaultdict -import json +import argparse from typing import Literal -import gradio as gr +import gradio as gr # type: ignore +from sotopia_space.chat import chat_introduction, chat_tab, get_sotopia_profiles +from sotopia_space import benchmark +from ui_constants import CITATION_TEXT, BANNER -from utils import Environment, Agent, get_context_prompt, dialogue_history_prompt -from functools import cache -from sotopia_pi_generate import prepare_model, generate_action OPENAI_KEY_FILE="./openai_api.key" if os.path.exists(OPENAI_KEY_FILE): with open(OPENAI_KEY_FILE, "r") as f: os.environ["OPENAI_API_KEY"] = f.read().strip() -DEPLOYED = os.getenv("DEPLOYED", "true").lower() == "true" -DEFAULT_MODEL_SELECTION = "gpt-3.5-turbo" -TEMPERATURE = 0.7 -TOP_P = 1 -MAX_TOKENS = 1024 +with open("./sotopia_space/_header.md", "r") as f: + HEADER_MD = f.read() -ENVIRONMENT_PROFILES = "profiles/environment_profiles.jsonl" -AGENT_PROFILES = "profiles/agent_profiles.jsonl" -RELATIONSHIP_PROFILES = "profiles/relationship_profiles.jsonl" - -ACTION_TYPES = ['none', 'action', 'non-verbal communication', 'speak', 'leave'] - -MODEL_OPTIONS = [ - "gpt-3.5-turbo", - "gpt-4", - "gpt-4-turbo", - "cmu-lti/sotopia-pi-mistral-7b-BC_SR", - "cmu-lti/sotopia-pi-mistral-7b-BC_SR_4bit", - "mistralai/Mistral-7B-Instruct-v0.1" - # "mistralai/Mixtral-8x7B-Instruct-v0.1", - # "togethercomputer/llama-2-7b-chat", - # "togethercomputer/llama-2-70b-chat", - # "togethercomputer/mpt-30b-chat", - # "together_ai/togethercomputer/llama-2-7b-chat", - # "together_ai/togethercomputer/falcon-7b-instruct", -] - -@cache -def get_sotopia_profiles(env_file=ENVIRONMENT_PROFILES, agent_file=AGENT_PROFILES, relationship_file=RELATIONSHIP_PROFILES): - with open(env_file, 'r') as f: - data = [json.loads(line) for line in f.readlines()] - - code_names_count = defaultdict(int) - environments = [] - environment_dict = {} - for profile in sorted(data, key=lambda x: x['codename']): - env_obj = Environment(profile) - if profile['codename'] in code_names_count: - environments.append(( - "{}_{:05d}".format(profile['codename'], - code_names_count[profile['codename']] - ), - env_obj._id - )) - else: - environments.append((profile['codename'], env_obj._id)) - environment_dict[env_obj._id] = env_obj - code_names_count[profile['codename']] += 1 - - with open(agent_file, 'r') as f: - data = [json.loads(line) for line in f.readlines()] - - agent_dict = {} - for profile in data: - agent_obj = Agent(profile) - agent_dict[agent_obj._id] = agent_obj - - with open(relationship_file, 'r') as f: - data = [json.loads(line) for line in f.readlines()] - - relationship_dict = defaultdict(lambda : defaultdict(list)) - for profile in data: - relationship_dict[profile['relationship']][profile['agent1_id']].append(profile['agent2_id']) - relationship_dict[profile['relationship']][profile['agent2_id']].append(profile['agent1_id']) - - return environments, environment_dict, agent_dict, relationship_dict - - -def introduction(): +def navigation_bar(): with gr.Column(scale=2): - gr.Image( - "images/sotopia.jpg", elem_id="banner-image", show_label=False + toggle_dark = gr.Button(value="Toggle Dark") + toggle_dark.click( + None, + js=""" + () => { + if (document.body.classList.contains('dark')) { + document.body.classList.remove('dark'); + document.querySelector('gradio-app').style.backgroundColor = 'var(--color-background-primary-light)'; + } else { + document.body.classList.add('dark'); + document.querySelector('gradio-app').style.backgroundColor = 'var(--color-background-primary-dark)'; + } + } + """, + ) + +with gr.Blocks( + css="""#chat_container {height: 820px; width: 1000px; margin-left: auto; margin-right: auto;} + #chatbot {height: 600px; overflow: auto;} + #create_container {height: 750px; margin-left: 0px; margin-right: 0px;} + #tokenizer_renderer span {white-space: pre-wrap} + """, + theme="gradio/monochrome", +) as demo: + # with gr.Row(): + # navigation_bar() + gr.Image( + "images/banner.png", elem_id="banner-image", show_label=False ) - with gr.Column(scale=5): - gr.Markdown( - """# Sotopia Space - **Chat with different social agent models including [sotopia-pi](https://github.com/sotopia-lab/sotopia-pi), GPT and so on in sotopia space!** - - ➡️️ **Intended Use**: Sotopia space is intended to showcase the social intelligence ability of different social agents in interesting social scenarios. - - ✨ **Guidance**: - - Step (1) Select a social scenario that interests you in "Scenario Selection" - - Step (2) Select a social agent you want to chat with in "Model Selection" - - Step (3) Select which character you and your social agent will play in the scenario in "User Agent Selection" and "Bot Agent Selection" - - Step (4) Negotiate/debate/cooperate with the social agent to see whether your goal or their social goal can be achieved. - - ⚠️ **Limitations**: The social agent can and will produce factually incorrect information, hallucinating facts and potentially offensive actions. It can produce problematic outputs, especially if prompted to do so. - - 🗄️ **Disclaimer**: User prompts and generated replies from the model may be collected solely for the purpose of pure academic research. By using this demo, users implicitly agree to these terms. - """ - ) - -def create_user_agent_dropdown(environment_id): - _, environment_dict, agent_dict, relationship_dict = get_sotopia_profiles() - environment = environment_dict[environment_id] - - user_agents_list = [] - unique_agent_ids = set() - for x, _ in relationship_dict[environment.relationship].items(): - unique_agent_ids.add(x) - - for agent_id in unique_agent_ids: - user_agents_list.append((agent_dict[agent_id].name, agent_id)) - return gr.Dropdown(choices=user_agents_list, value=user_agents_list[0][1] if user_agents_list else None, label="User Agent Selection") - -def create_bot_agent_dropdown(environment_id, user_agent_id): - _, environment_dict, agent_dict, relationship_dict = get_sotopia_profiles() - environment, user_agent = environment_dict[environment_id], agent_dict[user_agent_id] - - bot_agent_list = [] - for neighbor_id in relationship_dict[environment.relationship][user_agent.agent_id]: - bot_agent_list.append((agent_dict[neighbor_id].name, neighbor_id)) - - return gr.Dropdown(choices=bot_agent_list, value=bot_agent_list[0][1] if bot_agent_list else None, label="Bot Agent Selection") - -def create_environment_info(environment_dropdown): - _, environment_dict, _, _ = get_sotopia_profiles() - environment = environment_dict[environment_dropdown] - text = environment.scenario - return gr.Textbox(label="Scenario", lines=1, value=text) - -def create_user_info(user_agent_dropdown): - _, _, agent_dict, _ = get_sotopia_profiles() - user_agent = agent_dict[user_agent_dropdown] - text = f"{user_agent.background} {user_agent.personality}" - return gr.Textbox(label="User Agent Profile", lines=4, value=text) - -def create_bot_info(bot_agent_dropdown): - _, _, agent_dict, _ = get_sotopia_profiles() - bot_agent = agent_dict[bot_agent_dropdown] - text = f"{bot_agent.background} {bot_agent.personality}" - return gr.Textbox(label="Bot Agent Profile", lines=4, value=text) - -def create_user_goal(environment_dropdown): - _, environment_dict, _, _ = get_sotopia_profiles() - text = environment_dict[environment_dropdown].agent_goals[0] - text = text.replace('(', '').replace(')', '') - if "" in text: - text = text.replace("", "\n\n") - text = text.replace("", "\n") - if "" in text: - text = text.replace("", "\n\n") - text = text.replace("", "\n") - return gr.Textbox(label="User Agent Goal", lines=4, value=text) - -def create_bot_goal(environment_dropdown): - _, environment_dict, _, _ = get_sotopia_profiles() - text = environment_dict[environment_dropdown].agent_goals[1] - text = text.replace('(', '').replace(')', '') - if "" in text: - text = text.replace("", "\n\n") - text = text.replace("", "\n") - if "" in text: - text = text.replace("", "\n\n") - text = text.replace("", "\n") - return gr.Textbox(label="Bot Agent Goal", lines=4, value=text) - -def sotopia_info_accordion(accordion_visible=True): - environments, _, _, _ = get_sotopia_profiles() - - with gr.Accordion("Create your sotopia space!", open=accordion_visible): - with gr.Row(): - environment_dropdown = gr.Dropdown( - choices=environments, - label="Scenario Selection", - value=environments[0][1] if environments else None, - interactive=True, - ) - model_name_dropdown = gr.Dropdown( - choices=MODEL_OPTIONS, - value=DEFAULT_MODEL_SELECTION, - interactive=True, - label="Model Selection" - ) - - with gr.Row(): - user_agent_dropdown = create_user_agent_dropdown(environment_dropdown.value) - bot_agent_dropdown = create_bot_agent_dropdown(environment_dropdown.value, user_agent_dropdown.value) - - with gr.Accordion("Check your social task!", open=accordion_visible): - - scenario_info_display = create_environment_info(environment_dropdown.value) - - with gr.Row(): - bot_goal_display = create_bot_goal(environment_dropdown.value) - user_goal_display = create_user_goal(environment_dropdown.value) - - - - with gr.Row(): - bot_agent_info_display = create_bot_info(bot_agent_dropdown.value) - user_agent_info_display = create_user_info(user_agent_dropdown.value) - - # Update user dropdown when scenario changes - environment_dropdown.change(fn=create_user_agent_dropdown, inputs=[environment_dropdown], outputs=[user_agent_dropdown]) - # Update bot dropdown when user or scenario changes - user_agent_dropdown.change(fn=create_bot_agent_dropdown, inputs=[environment_dropdown, user_agent_dropdown], outputs=[bot_agent_dropdown]) - # Update scenario information when scenario changes - environment_dropdown.change(fn=create_environment_info, inputs=[environment_dropdown], outputs=[scenario_info_display]) - # Update user agent profile when user changes - user_agent_dropdown.change(fn=create_user_info, inputs=[user_agent_dropdown], outputs=[user_agent_info_display]) - # Update bot agent profile when bot changes - bot_agent_dropdown.change(fn=create_bot_info, inputs=[bot_agent_dropdown], outputs=[bot_agent_info_display]) - # Update user goal when scenario changes - environment_dropdown.change(fn=create_user_goal, inputs=[environment_dropdown], outputs=[user_goal_display]) - # Update bot goal when scenario changes - environment_dropdown.change(fn=create_bot_goal, inputs=[environment_dropdown], outputs=[bot_goal_display]) - - return model_name_dropdown, environment_dropdown, user_agent_dropdown, bot_agent_dropdown - -def instructions_accordion(instructions, according_visible=False): - with gr.Accordion("Instructions", open=False, visible=according_visible): - instructions = gr.Textbox( - lines=10, - value=instructions, - interactive=False, - placeholder="Instructions", - show_label=False, - max_lines=10, - visible=False, - ) - return instructions - - -def chat_tab(): - # history are input output pairs - _, environment_dict, agent_dict, _ = get_sotopia_profiles() - def run_chat( - message, - history, - environment_selection, - user_agent_dropdown, - bot_agent_dropdown, - model_selection:str - ): - environment = environment_dict[environment_selection] - user_agent = agent_dict[user_agent_dropdown] - bot_agent = agent_dict[bot_agent_dropdown] - - context = get_context_prompt(bot_agent, user_agent, environment) - dialogue_history, next_turn_idx = dialogue_history_prompt(message, history, user_agent, bot_agent) - prompt_history = f"{context}{dialogue_history}" - agent_action = generate_action(model_selection, prompt_history, next_turn_idx, ACTION_TYPES, bot_agent.name, TEMPERATURE) - return agent_action.to_natural_language() - - with gr.Column(): - with gr.Blocks(): - model_name_dropdown, scenario_dropdown, user_agent_dropdown, bot_agent_dropdown = sotopia_info_accordion() - - with gr.Column(): - with gr.Accordion("Start the conversation to achieve your goal!", open=True): - gr.ChatInterface( - fn=run_chat, - chatbot=gr.Chatbot( - height=620, - render=False, - show_label=False, - rtl=False, - avatar_images=( - "images/profile1.jpg", - "images/profile2.jpg", - ), - ), - textbox=gr.Textbox( - placeholder="Write your message here...", - render=False, - scale=7, - rtl=False, - ), - additional_inputs=[ - scenario_dropdown, - user_agent_dropdown, - bot_agent_dropdown, - model_name_dropdown, - ], - submit_btn="Send", - stop_btn="Stop", - retry_btn="🔄 Retry", - undo_btn="↩️ Delete", - clear_btn="🗑️ Clear", - ) - - -def main(): - with gr.Blocks( - css="""#chat_container {height: 820px; width: 1000px; margin-left: auto; margin-right: auto;} - #chatbot {height: 600px; overflow: auto;} - #create_container {height: 750px; margin-left: 0px; margin-right: 0px;} - #tokenizer_renderer span {white-space: pre-wrap} - """ - ) as demo: - with gr.Row(): - introduction() - with gr.Row(): - chat_tab() - - return demo - - -def start_demo(): - demo = main() - if DEPLOYED: - demo.queue(api_open=False).launch(show_api=False) - else: - demo.queue() - demo.launch(share=False, server_name="0.0.0.0") + gr.Markdown(HEADER_MD, elem_classes="markdown-text") + with gr.Tabs(elem_classes="tab-buttons") as tabs: + with gr.TabItem("🏅 Leaderboard", elem_id="benchmark-tab-table", id=0): + benchmark.benchmark_table() + with gr.TabItem("💬 Chat", elem_id="chat-tab-interface", id=1): + with gr.Row(): + chat_introduction() + with gr.Row(): + chat_tab() + with gr.Row(): + with gr.Accordion("📙 Citation", open=False, elem_classes="accordion-label"): + gr.Textbox( + value=CITATION_TEXT, + lines=7, + label="Copy the BibTeX snippet to cite this source", + elem_id="citation-button", + show_copy_button=True) + +# def start_demo(): +# demo = main() +# if DEPLOYED: +# demo.queue(api_open=False).launch(show_api=False) +# else: +# demo.queue() +# demo.launch(share=False, server_name="0.0.0.0") if __name__ == "__main__": + parser = argparse.ArgumentParser() + parser.add_argument("--result_file", help="Path to results table", default="data_dir/models_vs_gpt35.jsonl") + #benchmark.original_df = pd.read_json(args.result_file, lines=True) get_sotopia_profiles() # prepare_model(DEFAULT_MODEL_SELECTION) - start_demo() \ No newline at end of file + demo.launch() \ No newline at end of file diff --git a/data_dir/models_vs_gpt35.jsonl b/data_dir/models_vs_gpt35.jsonl new file mode 100644 index 0000000..1a62d1f --- /dev/null +++ b/data_dir/models_vs_gpt35.jsonl @@ -0,0 +1,4 @@ +{"model_name": "GPT-4", "SOC [-10, 0]": -0.07, "SEC [-10, 0]": -0.14, "FIN [-5, 5]": 0.81, "REL [-5, 5]": 1.94, "KNO [0, 10]": 3.73, "GOAL [0, 10]": 7.62, "BEL [0, 10]": 9.28} +{"model_name": "GPT-3.5", "SOC [-10, 0]": -0.08, "SEC [-10, 0]": -0.08, "FIN [-5, 5]": 0.46, "REL [-5, 5]": 1.23, "KNO [0, 10]": 3.4, "GOAL [0, 10]": 6.45, "BEL [0, 10]": 9.15} +{"model_name": "Llama-2", "SOC [-10, 0]": -0.11, "SEC [-10, 0]": -0.14, "FIN [-5, 5]": 0.4, "REL [-5, 5]": 0.91, "KNO [0, 10]": 3.11, "GOAL [0, 10]": 5.38, "BEL [0, 10]": 8.1} +{"model_name": "MPT", "SOC [-10, 0]": -0.09, "SEC [-10, 0]": -0.07, "FIN [-5, 5]": 0.28, "REL [-5, 5]": 0.58, "KNO [0, 10]": 2.11, "GOAL [0, 10]": 4.1, "BEL [0, 10]": 6.17} \ No newline at end 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