add app.py

app.py

@@ -0,0 +1,14 @@
+from transformers import pipeline
+import streamlit as st
+import numpy as np
+import pandas as pd
+import os  # secrets, or environment variables, like repository secrets
+
+# setup pipeline
+txt_classifier = pipeline('text-classification', model='charreaubell/distilbert-magazine-classifier',use_auth_token=os.environ['hf_token'])
+user_text = st.text.input('Add the text for classification into the college major')
+
+# if the text field has something in it, let's compue tand predict!
+if user_text:
+  res = txt_classifier(user_text)
+  st.write(pd.Dataframe(res, index[0])