Update app.py

app.py

@@ -2,19 +2,21 @@ import streamlit as st
 from sentence_transformers.util import cos_sim
 from sentence_transformers import SentenceTransformer
 
-def process(sent1, sent2):
-  if sent1 and sent2:
-    encodings = model.encode([sent1, sent2])
-    sim = cos_sim(encodings[0], encodings[1]).numpy().tolist()[0][0]
-    st.text('Cosine Similarity: {0:.4f}'.format(sim))
-
 st.title("Sentence Embedding for Spanish with Bertin")
 st.text("Sentence embedding for spanish trained on NLI. Used for Sentence Textual Similarity.")
-model = SentenceTransformer('hackathon-pln-es/bertin-roberta-base-finetuning-esnli')
 
 sent1 = st.text_area('Enter sentence 1')
 sent2 = st.text_area('Enter sentence 2')
 
-st.button('Compute similarity', key=None, help=None, on_click=process, args=(sent1, sent2))
+if st.button('Compute similarity'):
+  if sent1 and sent2:
+    model = SentenceTransformer('hackathon-pln-es/bertin-roberta-base-finetuning-esnli')
+    encodings = model.encode([sent1, sent2])
+    sim = cos_sim(encodings[0], encodings[1]).numpy().tolist()[0][0]
+    st.text('Cosine Similarity: {0:.4f}'.format(sim))
+  else:
+      st.write('Missing a sentences')
+else:
+  pass