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import streamlit as st | |
import streamlit.components.v1 as components | |
from textworld_express import TextWorldExpressEnv | |
description = """ | |
[ArXiv Paper](https://arxiv.org/abs/2208.01174) | [Github Repo](https://github.com/cognitiveailab/TextWorldExpress) | |
""" | |
st.title("TextWorldExpress Demo") | |
st.markdown(description) | |
env = st.session_state.get("env") | |
if env is None: | |
env = TextWorldExpressEnv() | |
st.session_state["env"] = env | |
seed = st.session_state.get("seed") | |
obs = st.session_state.get("obs") | |
infos = st.session_state.get("infos") | |
history = st.session_state.get("history") | |
if history is None: | |
history = [] | |
st.session_state["history"] = history | |
def clear_history(): | |
history.clear() | |
with st.sidebar: | |
st.title("TextWorldExpress Demo") | |
st.markdown(description) | |
game = st.selectbox("Game:", env.getGameNames(), on_change=clear_history) | |
with st.expander("Settings"): | |
seed = st.number_input("Seed:", 0, 2**16, value=4242, on_change=clear_history) | |
if game == "cookingworld": | |
nb_ingredients = st.number_input("Ingredients:", 1, 5, value=3, on_change=clear_history, | |
help="The number of ingredients to use in generating the random recipe.") | |
nb_locations = st.number_input("Locations:", 1, 11, value=5, on_change=clear_history, | |
help="The number of locations in the environment.") | |
nb_distractors = st.number_input("Distractors:", 0, 10, value=5, on_change=clear_history, | |
help="The number of distractor ingredients (not used in the recipe) in the environment.") | |
with_doors = st.checkbox("With doors?", value=True, on_change=clear_history, | |
help="Whether rooms have doors that need to be opened.") | |
limited_inventory = st.checkbox("Limit inventory?", value=False, on_change=clear_history, | |
help="Whether the size of the inventory is limited.") | |
params = f"numLocations={nb_locations},numIngredients={nb_ingredients},numDistractorItems={nb_distractors},includeDoors={int(with_doors)},limitInventorySize={int(limited_inventory)}" | |
elif game == "twc": | |
nb_items = st.number_input("Items:", 1, 10, value=3, on_change=clear_history, | |
help="The number of items to put away.") | |
nb_locations = st.number_input("Locations:", 1, 3, value=3, on_change=clear_history, | |
help="The number of locations in the environment.") | |
with_doors = st.checkbox("With doors?", value=True, on_change=clear_history, | |
help="Whether rooms have doors that need to be opened.") | |
limited_inventory = st.checkbox("Limit inventory?", value=False, on_change=clear_history, | |
help="Whether the size of the inventory is limited.") | |
params = f"numLocations={nb_locations},numItemsToPutAway={nb_items},includeDoors={int(with_doors)},limitInventorySize={int(limited_inventory)}" | |
elif game == "coin": | |
nb_locations = st.number_input("Locations:", 1, 11, value=3, on_change=clear_history, | |
help="The number of locations in the environment.") | |
nb_distractors = st.number_input("Distractors:", 0, 10, value=5, on_change=clear_history, | |
help="The number of distractor (i.e. non-coin) items in the environment.") | |
with_doors = st.checkbox("With doors?", value=True, on_change=clear_history, | |
help="Whether rooms have doors that need to be opened.") | |
limited_inventory = st.checkbox("Limit inventory?", value=False, on_change=clear_history, | |
help="Whether the size of the inventory is limited.") | |
params = f"numLocations={nb_locations},numDistractorItems={nb_distractors},includeDoors={int(with_doors)},limitInventorySize={int(limited_inventory)}" | |
else: | |
params="" | |
if len(history) == 0: | |
obs, infos = env.reset(seed, gameFold="train", gameName=game, gameParams=params) | |
obs, reward, done, infos = env.step("look around") | |
st.session_state["obs"] = obs | |
st.session_state["infos"] = infos | |
history.append(("", env.getTaskDescription())) | |
history.append(("look around", obs)) | |
def step(): | |
act = st.session_state.action | |
if act: | |
obs, reward, done, infos = env.step(act) | |
history.append((act, obs)) | |
st.session_state["obs"] = obs | |
st.session_state["infos"] = infos | |
if act == "reset": | |
clear_history() | |
with st.sidebar: | |
# st.warning(env.getTaskDescription()) | |
st.success(f"Score: {infos['score']}") | |
valid_actions = [""] + sorted(infos["validActions"]) | |
if infos['done']: | |
valid_actions = ["", "reset"] | |
#act = st.selectbox('Action:', options=valid_actions, index=0, on_change=step, key="action") | |
for act, obs in history: | |
if act: | |
st.write("> " + act) | |
if obs: | |
st.info(obs.replace('\n ', '\n- ').replace('\n\t', '\n- ')) | |
act = st.selectbox('Action:', options=valid_actions, index=0, on_change=step, key="action") | |
if infos['tasksuccess']: | |
with st.sidebar: | |
st.balloons() | |
st.success("Congratulations! You have completed the task.") | |
elif infos['taskfailure']: | |
with st.sidebar: | |
st.snow() | |
st.error("You have failed the task.") | |
# # Auto scroll at the bottom of the page. | |
# components.html( | |
# f""" | |
# <p>{st.session_state.obs}</p> | |
# <script> | |
# window.parent.document.querySelector('section.main').scrollTo(0, window.parent.document.querySelector('section.main').scrollHeight); | |
# </script> | |
# """, | |
# height=0 | |
# ) |