Add embedding

app.py

@@ -1,8 +1,18 @@
 import streamlit as st
 import pandas as pd
 
+from sentence_transformers import SentenceTransformer
+model = SentenceTransformer('paraphrase-MiniLM-L6-v2')
+
+#Sentences we want to encode. Example:
+sentence = ['This framework generates embeddings for each input sentence']
+
+
+#Sentences are encoded by calling model.encode()
+embedding = model.encode(sentence)
+
 x = st.slider('Select a value')
-st.write(x, 'squared is', x * x)
+st.write(x, 'squared is', x * x, 'embedding', embedding[0])
 
 
 uploaded_file = st.file_uploader("Choose a file")