Added text section

app.py

@@ -1,4 +1,22 @@
 import streamlit as st
+from transformers import pipeline
 
 x = st.slider('Select a value')
-st.write(x, 'squared is', x * x)
+st.write(x, 'squared is', x * x)
+
+# read about the model here:  Model from https://huggingface.co/chbh7051/vit-driver-drowsiness-detection
+model_name = "chbh7051/vit-driver-drowsiness-detection"
+
+# the pipeline can be different things like classification, sentiment, or text-generation, question-answering
+pipe = pipeline(
+    task="text-classification", 
+    model=model_name, 
+    top_k=None)
+
+# this is the text input box for the user
+input_text = st.text_area('Tell me how your day was and I will guess how you are feeling...')
+
+# if text means, if the variable text is not empty then run below
+if input_text:
+    out = pipe(input_text)
+    st.json(out)