checkin_app.py

app.py

@@ -0,0 +1,22 @@
+import streamlit as st
+from transformers import pipeline
+
+@st.cache_resource
+def load_model():
+    return pipeline("text-classification", model="Terrence/checkin-classifier")
+
+classifier = load_model()
+
+st.title("Check-In Classifier")
+st.write("Classify your check-in as Good, Average, Bad, Repetitive, or Great.")
+
+user_input = st.text_area("Enter your check-in:")
+
+if st.button("Classify"):
+    if user_input.strip():
+        result = classifier(user_input)
+        label = result[0]['label']
+        score = result[0]['score']
+        st.success(f"**Prediction:** {label} ({score:.2%} confidence)")
+    else:
+        st.warning("Please enter a check-in.")