Update app.py

app.py

@@ -5,7 +5,8 @@ from semviqa.ser.qatc_model import QATCForQuestionAnswering
 from semviqa.tvc.model import ClaimModelForClassification
 from semviqa.ser.ser_eval import extract_evidence_tfidf_qatc
 from semviqa.tvc.tvc_eval import classify_claim
-import time  # Thêm thư viện time để đo thời gian inference
+import time
+import pandas as pd
 
 # Load models with caching
 @st.cache_resource()
@@ -89,6 +90,10 @@ st.markdown(
         background-color: #f0f2f6;
         padding: 20px;
         border-radius: 10px;
+        position: sticky;
+        top: 55px; /* Height of the header */
+        height: calc(100vh - 75px); /* Adjust height to fit within the viewport */
+        overflow-y: auto; /* Enable scrolling within the sidebar if content is too long */
     }
     .stSidebar .st-expander {
         background-color: #ffffff;
@@ -112,7 +117,7 @@ st.markdown(
 
 # Container for the whole content with dynamic height
 with st.container():
-    st.markdown("<p class='big-title'>SemViQA: Vietnamese Semantic QA for Fact Verification</p>", unsafe_allow_html=True)
+    st.markdown("<p class='big-title'>SemViQA: A Semantic Question Answering System for Vietnamese Information Fact-Checking</p>", unsafe_allow_html=True)
     st.markdown("<p class='sub-title'>Enter the claim and context to verify its accuracy</p>", unsafe_allow_html=True)
 
     # Sidebar: Global Settings
@@ -193,14 +198,6 @@ with st.container():
                         )
                         evidence_time = time.time() - evidence_start_time
 
-                        # Hiển thị evidence trước
-                        st.markdown(f"""
-                            <div class='result-box'>
-                                <p><strong>Evidence:</strong> {evidence}</p>
-                                <p><strong>Evidence Inference Time:</strong> {evidence_time:.2f} seconds</p>
-                            </div>
-                        """, unsafe_allow_html=True)
-
                         # Classify the claim
                         verdict_start_time = time.time()
                         verdict = "NEI"
@@ -272,6 +269,14 @@ with st.container():
     with tabs[1]:
         st.subheader("Verification History")
         if st.session_state.history:
+            # Convert history to DataFrame for easy download
+            history_df = pd.DataFrame(st.session_state.history)
+            st.download_button(
+                label="Download Full History",
+                data=history_df.to_csv(index=False).encode('utf-8'),
+                file_name="verification_history.csv",
+                mime="text/csv",
+            )
             for idx, record in enumerate(reversed(st.session_state.history), 1):
                 st.markdown(f"**{idx}. Claim:** {record['claim']}  \n**Result:** {verdict_icons.get(record['verdict'], '')} {record['verdict']}")
         else: