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import plotly.express as px | |
import streamlit as st | |
from sentence_transformers import SentenceTransformer | |
import umap.umap_ as umap | |
import pandas as pd | |
import os | |
def app(): | |
st.title("SDG Embedding Visualisation") | |
with st.spinner("π load data"): | |
df_osdg = pd.read_csv("sdg_umap.csv", sep = "|") | |
labels = [_lab_dict[lab] for lab in df_osdg['label'] ] | |
keys = list(df_osdg['keys']) | |
docs = list(df_osdg['text']) | |
with st.spinner("π create visualisation"): | |
fig = px.scatter_3d( | |
df_osdg, x='cood_x', y='cood_y', z='cood_z', | |
color='labels', | |
opacity = .5, hover_data="keys") | |
fig.update_scenes(xaxis_visible=False, yaxis_visible=False,zaxis_visible=False ) | |
fig.update_traces(marker_size=4) | |
st.plotly_chart(fig) |