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import streamlit as st | |
from dashboard_utils.bubbles import get_new_bubble_data | |
from dashboard_utils.main_metrics import get_main_metrics | |
from streamlit_observable import observable | |
def draw_current_progress(): | |
source = get_main_metrics() | |
st.vega_lite_chart( | |
source, { | |
"height": 200, | |
"title": { | |
"text": "Training DALLE with volunteers. Updated every few minutes during NeurIPS.", | |
"dy": 2, | |
}, | |
"$schema": "https://vega.github.io/schema/vega-lite/v5.json", | |
"description": "Current training progress", | |
"encoding": {"x": {"field": "wall time", "type": "temporal"}}, | |
"config": {"axisX": {"labelAngle": -40}}, | |
"resolve": {"scale": {"y": "independent"}}, | |
"layer": [ | |
{ | |
"mark": {"type": "line", "point": {"tooltip": True, "filled": False, "strokeOpacity": 0}, | |
"color": "#85A9C5"}, | |
"encoding": { | |
"y": {"field": "training loss", "type": "quantitative", "axis": {"titleColor": "#85A9C5"}}}, | |
}, | |
{ | |
"mark": {"type": "line", "point": {"tooltip": True, "filled": False, "strokeOpacity": 0.0}, | |
"color": "#85C5A6", "opacity": 0.5}, | |
"encoding": { | |
"y": {"field": "active participants", "type": "quantitative", | |
"axis": {"titleColor": "#85C5A6"}}}, | |
}, | |
], | |
}, | |
use_container_width=True, | |
) | |
def draw_participant_bubbles(): | |
with st.expander("Who's training?", expanded=False): | |
st.markdown("### Collaborative training participants\n(may take a few seconds to load)") | |
serialized_data, profiles = get_new_bubble_data() | |
observable( | |
"Participants", | |
notebook="d/9ae236a507f54046", # "@huggingface/participants-bubbles-chart", | |
targets=["c_noaws"], | |
redefine={"serializedData": serialized_data, "profileSimple": profiles}, | |
) |