Update app.py

app.py

@@ -1,7 +1,54 @@
 import plotly.express as px
 import streamlit as st
+import umap.umap_ as umap
 import pandas as pd
 import os
 
+model_name = 'sentence-transformers/all-MiniLM-L6-v2'
+model = SentenceTransformer(model_name)
 
+df_osdg = pd.read_csv('https://zenodo.org/record/5550238/files/osdg-community-dataset-v21-09-30.csv',sep='\t')
 
+_lab_dict = {0: 'no_cat',
+            1:'SDG 1 - No poverty',
+              2:'SDG 2 - Zero hunger',
+              3:'SDG 3 - Good health and well-being',
+              4:'SDG 4 - Quality education',
+              5:'SDG 5 - Gender equality',
+              6:'SDG 6 - Clean water and sanitation',
+              7:'SDG 7 - Affordable and clean energy',
+              8:'SDG 8 - Decent work and economic growth', 
+             9:'SDG 9 - Industry, Innovation and Infrastructure',
+              10:'SDG 10 - Reduced inequality',
+             11:'SDG 11 - Sustainable cities and communities',
+             12:'SDG 12 - Responsible consumption and production',
+             13:'SDG 13 - Climate action',
+             14:'SDG 14 - Life below water',
+             15:'SDG 15 - Life on land',
+             16:'SDG 16 - Peace, justice and strong institutions',
+             17:'SDG 17 - Partnership for the goals',}
+             
+labels = [_lab_dict[lab] for lab in df_osdg['sdg'] ]
+keys = list(df_osdg['keys'])
+docs = list(df_osdg['text'])
+
+docs_embeddings = model.encode(docs)
+
+n_neighbors = 15
+n_components = 3
+random_state =42
+umap_model = (umap.UMAP(n_neighbors=n_neighbors, 
+                            n_components=n_components, 
+                            metric='cosine', 
+                            random_state=random_state)
+                        .fit(docs_embeddings))
+                        
+docs_umap = umap_model.transform(docs_embeddings)
+
+fig = px.scatter_3d(
+    docs_umap, x=0, y=1, z=2,
+    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)