Local demo link

app.py

@@ -125,6 +125,8 @@ For more cool information on sentence embeddings, see the [sBert project](https:
         results = {model: inference.text_search(anchor, n_texts, model, QA_MODELS_ID) for model in select_models}
         st.table(pd.DataFrame(results[select_models[0]]).T)
 
-    if st.button('3D Clustering of search result (new window)'):
-        fig = inference.text_cluster(anchor, 1000, select_models[0], QA_MODELS_ID)
-        fig.show()
+    if st.button('3D Clustering of search result using T-SNE on generated embeddings'):
+        st.write("Currently only works at local due to Spaces / plotly integration.")
+        st.write("Demonstration : https://gyazo.com/1ff0aa438ae533de3b3c63382af7fe80")
+        # fig = inference.text_cluster(anchor, 1000, select_models[0], QA_MODELS_ID)
+        # fig.show()