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apps/sdg_pd.py

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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("👑 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("👑 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)