vis

app.py

@@ -1,5 +1,15 @@
 import streamlit as st
 
+# Create a text element and let the reader know the data is loading.
+data_load_state = st.text('Loading data...')
+# Load 10,000 rows of data into the dataframe.
+data = load_data(10000)
+# Notify the reader that the data was successfully loaded.
 from transformers import pipeline
 nlp = pipeline("fill-mask", model="roberta-base")
-nlp(f"This is the best thing I've {nlp.tokenizer.mask_token} in my life.")
+result = nlp(f"This is the best thing I've {nlp.tokenizer.mask_token} in my life.")
+
+data_load_state.text('Loading data...done!')
+
+for d in result:
+	st.write(str(d["score"])+"\n"+d["sequence])