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add eSCN; refactor app.py
Browse files
mlip_arena/tasks/diatomics/escn/homonuclear-diatomics.json
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mlip_arena/tasks/diatomics/run.ipynb
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mlip_arena/tasks/registry.yaml
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@@ -1,9 +1,22 @@
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Homonuclear diatomics:
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category: Fundamentals
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task-page: homonuclear-diatomics
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task-layout: wide
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rank-page: homonuclear-diatomics
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last-update: 2024-09-19
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High pressure stability:
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category: Molecular dynamics
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task-page: stability
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task-layout: centered
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rank-page: stability
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Combustion:
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category: Molecular dynamics
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task-page: combustion
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task-layout: centered
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rank-page: combustion
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# nacl:
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# last-update: 2024-03-25T14:30:00 # TODO: Fake datetime
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# alexandria:
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# last-update: 2024-03-25T14:30:00 # TODO: Fake datetime
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# qmof:
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# last-update: 2024-03-25T14:30:00 # TODO: Fake datetime
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serve/app.py
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@@ -1,5 +1,9 @@
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import streamlit as st
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# if "logged_in" not in st.session_state:
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# st.session_state.logged_in = False
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@@ -17,36 +21,33 @@ import streamlit as st
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# logout_page = st.Page(logout, title="Log out", icon=":material/logout:")
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leaderboard = st.Page(
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"leaderboard.py", title="Leaderboard", icon=":material/trophy:"
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)
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# bugs = st.Page("models/bugs.py", title="Bug reports", icon=":material/bug_report:")
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# alerts = st.Page(
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# "models/alerts.py", title="System alerts", icon=":material/notification_important:"
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# )
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search = st.Page("tools/search.py", title="Search", icon=":material/search:")
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history = st.Page("tools/history.py", title="History", icon=":material/history:")
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ptable = st.Page("tools/ptable.py", title="Periodic table", icon=":material/gradient:")
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diatomics = st.Page("tasks/homonuclear-diatomics.py", title="Homonuclear diatomics", icon=":material/target:", default=True)
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stability = st.Page("tasks/stability.py", title="High pressure stability", icon=":material/target:")
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combustion = st.Page("tasks/combustion.py", title="Combustion", icon=":material/target:")
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# if st.session_state.logged_in:
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pg = st.navigation(
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{
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# "Account": [logout_page],
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"": [leaderboard],
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"Fundamentals": [diatomics],
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"Molecular Dynamics": [stability, combustion],
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# "Tools": [ptable],
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}
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)
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# else:
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# pg = st.navigation([login_page])
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st.set_page_config(
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layout="centered",
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page_title="MLIP Arena",
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@@ -55,7 +56,7 @@ if pg in [stability, combustion]:
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menu_items={
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"About": "https://github.com/atomind-ai/mlip-arena",
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"Report a bug": "https://github.com/atomind-ai/mlip-arena/issues/new",
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}
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)
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else:
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st.set_page_config(
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@@ -66,9 +67,12 @@ else:
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menu_items={
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"About": "https://github.com/atomind-ai/mlip-arena",
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"Report a bug": "https://github.com/atomind-ai/mlip-arena/issues/new",
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}
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)
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st.toast(
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pg.run()
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from collections import defaultdict
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import streamlit as st
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from mlip_arena.tasks import REGISTRY as TASKS
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# if "logged_in" not in st.session_state:
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# st.session_state.logged_in = False
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# logout_page = st.Page(logout, title="Log out", icon=":material/logout:")
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leaderboard = st.Page(
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"leaderboard.py", title="Leaderboard", icon=":material/trophy:", default=True
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)
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search = st.Page("tools/search.py", title="Search", icon=":material/search:")
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history = st.Page("tools/history.py", title="History", icon=":material/history:")
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ptable = st.Page("tools/ptable.py", title="Periodic table", icon=":material/gradient:")
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nav = defaultdict(list)
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nav[""].append(leaderboard)
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wide_pages, centered_pages = [], []
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for task in TASKS:
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page = st.Page(
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f"tasks/{TASKS[task]['task-page']}.py", title=task, icon=":material/target:"
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)
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nav[TASKS[task]["category"]].append(page)
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if TASKS[task]["task-layout"] == "wide":
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wide_pages.append(page)
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else:
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centered_pages.append(page)
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pg = st.navigation(nav)
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if pg in centered_pages:
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st.set_page_config(
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layout="centered",
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page_title="MLIP Arena",
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menu_items={
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"About": "https://github.com/atomind-ai/mlip-arena",
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"Report a bug": "https://github.com/atomind-ai/mlip-arena/issues/new",
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},
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)
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else:
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st.set_page_config(
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menu_items={
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"About": "https://github.com/atomind-ai/mlip-arena",
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"Report a bug": "https://github.com/atomind-ai/mlip-arena/issues/new",
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},
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)
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st.toast(
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"MLIP Arena is currently in **pre-alpha**. The results are not stable. Please interpret them with care. Contributions are welcome. For more information, visit https://github.com/atomind-ai/mlip-arena.",
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icon="🍞",
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)
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pg.run()
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serve/leaderboard.py
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import pandas as pd
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import streamlit as st
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from mlip_arena.models import REGISTRY
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DATA_DIR = Path("mlip_arena/tasks/diatomics")
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dfs = [pd.read_json(DATA_DIR /
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df = pd.concat(dfs, ignore_index=True)
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@@ -22,11 +23,11 @@ table = pd.DataFrame(columns=[
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"Code",
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"Paper",
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"First Release",
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for model in
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rows = df[df["method"] == model]
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metadata =
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new_row = {
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"Model": model,
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"Element Coverage": len(rows["name"].unique()),
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@@ -61,7 +62,7 @@ MLIP Arena is a platform for benchmarking foundation machine learning interatomi
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The benchmarks are designed to evaluate the readiness and reliability of open-source, open-weight models to reproduce the qualitatively or quantitatively correct physics.
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""", unsafe_allow_html=True)
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st.dataframe(
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s,
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),
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},
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import pandas as pd
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import streamlit as st
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from mlip_arena.models import REGISTRY as MODELS
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from mlip_arena.tasks import REGISTRY as TASKS
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DATA_DIR = Path("mlip_arena/tasks/diatomics")
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dfs = [pd.read_json(DATA_DIR / MODELS[model].get("family") / "homonuclear-diatomics.json") for model in MODELS]
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df = pd.concat(dfs, ignore_index=True)
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"Code",
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"Paper",
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"First Release",
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])
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for model in MODELS:
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rows = df[df["method"] == model]
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metadata = MODELS.get(model, {})
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new_row = {
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"Model": model,
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"Element Coverage": len(rows["name"].unique()),
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The benchmarks are designed to evaluate the readiness and reliability of open-source, open-weight models to reproduce the qualitatively or quantitatively correct physics.
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""", unsafe_allow_html=True)
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st.dataframe(
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s,
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),
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},
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for task in TASKS:
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st.header(task, divider=True)
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# st.write("Results for the task are not available yet.")
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