Adding the score relative to the selected topic

app.py

@@ -22,15 +22,18 @@ sentence = ['This framework generates embeddings for each input sentence']
 
 
 #Sentences are encoded by calling model.encode()
-embedding_sentence = model.encode([input_sentence])
+embedding_sentence = model.encode(input_sentence)
 embedding_topics = model.encode(['Space','Transportation','Health'])
+embedding_input_topic = model.encode(input_topic)
 
 #x = st.slider('Select a value')
 #embedding = model.encode(input_sentence)
 #st.write(x, 'squared is', x * x, 'embedding', embedding[0][0])
 #st.write('The embedding of', '"' + input_sentence + '"', 'at position',x,'is',embedding[0][int(x)])
 
-st.write('Score for topic', input_topic, ':')
+cos_scores = util.cos_sim(embedding_input_topic, embedding_sentence)[0]
+
+st.write('Score for topic', input_topic, ':', cos_scores)
 
 st.markdown('## ')
 uploaded_file1 = st.file_uploader("Choose a file: sentence list")