Update app.py

app.py

@@ -4,6 +4,27 @@ import streamlit as st
 import numpy as np
 import pandas as pd
 
+from sentence_transformers import SentenceTransformer
+
+model = SentenceTransformer('moka-ai/m3e-base')
+
+#Our sentences we like to encode
+sentences = [
+    '* Moka 此文本嵌入模型由 MokaAI 训练并开源，训练脚本使用 uniem',
+    '* Massive 此文本嵌入模型通过**千万级**的中文句对数据集进行训练',
+    '* Mixed 此文本嵌入模型支持中英双语的同质文本相似度计算，异质文本检索等功能，未来还会支持代码检索，ALL in one'
+]
+
+#Sentences are encoded by calling model.encode()
+embeddings = model.encode(sentences)
+
+#Print the embeddings
+for sentence, embedding in zip(sentences, embeddings):
+    st.write("Sentence:", sentence)
+    st.write("Embedding:", embedding)
+    st.write("")
+
+
 st.title('My first app')
 
 st.write("Here's our first attempt at using data to create a table:")