Updated app.py

app.py

@@ -4,9 +4,9 @@ import pandas as pd
 import numpy as np
 
 
-#pip install -U sentence-transformers
+pip install -U sentence-transformers
 
-#from sentence_transformers import SentenceTransformer, util
+from sentence_transformers import SentenceTransformer, util
 
 
 # Load document embeddings
@@ -17,6 +17,10 @@ doc_emb = np.loadtxt("abstract-embed.txt", dtype=float)
 df = pd.read_csv("sessions.csv", usecols=['Unique ID', 'Name', 'Description', 'Activity Code', 'Start Time', 'End Time', 'Location Name'])
 #df.head()
 
+st.title(" Your Top 3 Important Sessions")
+st.markdown("This application is a dashboard for displaying your top 3 Sessions at the summit")
+
+doc_emb = np.loadtxt("abstract-embed.txt", dtype=float)
 # Get attributes from dataframe
 docs = list(df["Description"])
 titles = list(df["Name"])