Create app.py

app.py

@@ -0,0 +1,16 @@
+from transformers import pipeline, BertTokenizer
+import streamlit as st
+
+model = pipeline("text-classification", model="/home/user/app/MendoBERT/", tokenizer="indolem/indobert-base-uncased")
+basemodel = pipeline("text-classification", model="/home/user/app/IndoLEM/", tokenizer="indolem/indobert-base-uncased")
+
+if 'options' not in st.session_state:
+    st.session_state['options'] = ""
+
+with placeholder:
+    text = st.text_area('Enter some text: ', key = 'options')
+
+if text:
+    st.write(model(text))
+    st.write("\n")
+    st.write(basemodel(text))