Update app.py

app.py

@@ -35,7 +35,7 @@ with st.sidebar.expander("⚙️ Settings", expanded=False):
     length_ratio_threshold = st.slider("📏 Length Ratio Threshold", 0.1, 1.0, 0.5, 0.01)
     qatc_model_name = st.selectbox("🤖 QATC Model", ["SemViQA/qatc-infoxlm-viwikifc","SemViQA/qatc-infoxlm-isedsc01","SemViQA/qatc-vimrc-viwikifc","SemViQA/qatc-vimrc-isedsc01"])
     bc_model_name = st.selectbox("🏷️ Binary Classification Model", ["SemViQA/bc-xlmr-viwikifc","SemViQA/bc-xlmr-isedsc01","SemViQA/bc-infoxlm-viwikifc","SemViQA/bc-infoxlm-isedsc01","SemViQA/bc-erniem-viwikifc","SemViQA/bc-erniem-isedsc01"])
-    tc_model_name = st.selectbox("📊 Three-Class Model", ["SemViQA/tc-xlmr-viwikifc","SemViQA/tc-xlmr-isedsc01","SemViQA/tc-infoxlm-viwikifc","SemViQA/tc-infoxlm-isedsc01","SemViQA/tc-erniem-viwikifc","SemViQA/tc-erniem-isedsc01"])
+    tc_model_name = st.selectbox("📊 Three-Class Classification Model", ["SemViQA/tc-xlmr-viwikifc","SemViQA/tc-xlmr-isedsc01","SemViQA/tc-infoxlm-viwikifc","SemViQA/tc-infoxlm-isedsc01","SemViQA/tc-erniem-viwikifc","SemViQA/tc-erniem-isedsc01"])
 
 # Load selected models
 tokenizer_qatc, model_qatc = load_model(qatc_model_name, QATCForQuestionAnswering)