minor change

app.py

@@ -80,7 +80,6 @@ with col1:
     
     if st.button("Refine Resume", type="primary"):
         # 在这里调用模型
-        # For example:
         # prediction = pipeline(resume_text, job_description)
         refined_resume = "This would be the refined resume after model processing" # 现在这个是hard code的prediction
         refined_score = 0.85  # Example hardcoded score
@@ -102,8 +101,11 @@ with col1:
             st.header("Results")
             st.text_area("Refined Work Experience", value=refined_resume, height=300)
             st.subheader("Similarity Score")
-            # Below is just hardcoded for now
+            # Below are just hardcoded for now
             st.metric("BERT Score (F1)", value=f"{refined_score:.2f}", delta=f"{refined_score - 0.75:.2f}")
+            st.metric("Cosine Similarity", value=f"{0.85:.2f}", delta=f"{0.85 - 0.75:.2f}")
+            st.metric("ROUGE-1 (F1)", value=f"{0.80:.2f}", delta=f"{0.80 - 0.75:.2f}")
+            st.metric("ROUGE-L (F1)", value=f"{0.78:.2f}", delta=f"{0.78 - 0.75:.2f}")
             # 其实应该是
             # st.metric("BERT Score (F1)", value=f"{refined_bertscore:.2f}", delta=f"{delta_score:.2f}")
             # st.metric("Cosine Similarity", value=f"{refined_cosine_sim:.2f}", delta=f"{delta_cosine_sim:.2f}")