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Update app.py
Browse files
app.py
CHANGED
@@ -18,114 +18,102 @@ def load_model(model_name, model_class, is_bc=False):
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# Set up page configuration
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st.set_page_config(page_title="SemViQA Demo", layout="wide")
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# Custom CSS: fixed
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st.markdown(
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<style>
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border-radius: 50%;
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background-color: #4A90E2;
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margin: 0 5px;
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animation: pulse 1.4s infinite ease-in-out;
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}
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.loading-animation .dot:nth-child(2) {
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animation-delay: 0.2s;
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}
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.loading-animation .dot:nth-child(3) {
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animation-delay: 0.4s;
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}
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@keyframes pulse {
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0%, 100% { transform: scale(0.8); opacity: 0.5; }
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50% { transform: scale(1.2); opacity: 1; }
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}
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</style>
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""",
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#
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with st.container():
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st.markdown("<p class='big-title'>SemViQA: Semantic QA
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st.markdown("<p class='sub-title'>Enter
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# Sidebar: Global Settings
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with st.sidebar.expander("⚙️ Settings", expanded=True):
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@@ -153,17 +141,15 @@ with st.container():
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"SemViQA/tc-erniem-viwikifc",
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"SemViQA/tc-erniem-isedsc01"
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])
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show_details = st.checkbox("Show
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# Store verification history
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if 'history' not in st.session_state:
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st.session_state.history = []
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if 'latest_result' not in st.session_state:
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st.session_state.latest_result = None
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if 'is_verifying' not in st.session_state:
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st.session_state.is_verifying = False
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# Load selected models
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tokenizer_qatc, model_qatc = load_model(qatc_model_name, QATCForQuestionAnswering)
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tokenizer_bc, model_bc = load_model(bc_model_name, ClaimModelForClassification, is_bc=True)
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tokenizer_tc, model_tc = load_model(tc_model_name, ClaimModelForClassification)
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@@ -175,50 +161,29 @@ with st.container():
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"NEI": "⚠️"
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}
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#
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tabs = st.tabs(["Verify", "History", "About"])
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# --- Verify
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with tabs[0]:
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st.subheader("Verify
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#
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col_input, col_result = st.columns([2, 1])
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with col_input:
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claim = st.text_area("Enter Claim", "Vietnam is a country in Southeast Asia.")
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context = st.text_area("Enter Context", "Vietnam is a country located in Southeast Asia, covering an area of over 331,000 km² with a population of more than 98 million people.")
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st.session_state.is_verifying = True
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st.experimental_rerun()
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if st.button("Verify", key="verify_button", on_click=start_verification):
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pass
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# Display results in right column
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with col_result:
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st.markdown("<h3>Verification
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<p><strong>Processing verification...</strong></p>
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<div class="loading-animation">
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<span class="dot"></span>
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<span class="dot"></span>
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<span class="dot"></span>
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</div>
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<p>1. Extracting evidence...</p>
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<p>2. Running binary classification...</p>
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<p>3. Running 3-class classification...</p>
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<p>4. Determining final verdict...</p>
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</div>
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""", unsafe_allow_html=True)
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# Perform actual verification
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with torch.no_grad():
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# Extract evidence and classify
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evidence = extract_evidence_tfidf_qatc(
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claim, context, model_qatc, tokenizer_qatc,
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"cuda" if torch.cuda.is_available() else "cpu",
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@@ -244,8 +209,8 @@ with st.container():
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verdict = ["NEI", "SUPPORTED", "REFUTED"][pred_tc]
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if show_details:
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details = f"<p><strong>3-Class Probability:</strong> {prob3class.item():.2f} - <strong>2-Class Probability:</strong> {prob2class.item():.2f}</p>"
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#
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st.session_state.history.append({
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"claim": claim,
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"evidence": evidence,
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@@ -257,17 +222,13 @@ with st.container():
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"verdict": verdict,
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"details": details
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}
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if torch.cuda.is_available():
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torch.cuda.empty_cache()
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#
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st.session_state.is_verifying = False
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st.experimental_rerun()
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elif st.session_state.latest_result is not None:
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res = st.session_state.latest_result
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<div class='result-box'>
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<p><strong>Claim:</strong> {res['claim']}</p>
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<p><strong>Evidence:</strong> {res['evidence']}</p>
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{res['details']}
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</div>
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""", unsafe_allow_html=True)
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# Download
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result_text = f"Claim: {res['claim']}\nEvidence: {res['evidence']}\nVerdict: {res['verdict']}\nDetails: {res['details']}"
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st.download_button("Download Result", data=result_text, file_name="verification_result.txt", mime="text/plain")
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else:
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st.info("No verification
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# --- History
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with tabs[1]:
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st.subheader("Verification History")
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if st.session_state.history:
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else:
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st.write("No verification history yet.")
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# --- About
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with tabs[2]:
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st.subheader("About")
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st.markdown("""
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""", unsafe_allow_html=True)
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st.markdown("""
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**Description:**
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SemViQA is a Semantic QA system designed
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The system extracts evidence from the provided context and classifies
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""")
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# Set up page configuration
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st.set_page_config(page_title="SemViQA Demo", layout="wide")
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# Custom CSS: fixed header and tabs, dynamic height, result box formatting
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st.markdown(
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"""
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<style>
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html, body {
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height: 100%;
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margin: 0;
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overflow: hidden;
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}
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.main-container {
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height: calc(100vh - 55px); /* Browser height - 55px */
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overflow-y: auto;
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padding: 20px;
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}
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.big-title {
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font-size: 36px;
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font-weight: bold;
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color: #4A90E2;
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text-align: center;
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margin-top: 20px;
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position: sticky; /* Pin the header */
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top: 0;
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background-color: white; /* Ensure the header covers content when scrolling */
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z-index: 100; /* Ensure it's above other content */
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}
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.sub-title {
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font-size: 20px;
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color: #666;
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text-align: center;
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margin-bottom: 20px;
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}
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.stButton>button {
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background-color: #4CAF50;
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color: white;
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font-size: 16px;
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width: 100%;
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border-radius: 8px;
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padding: 10px;
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}
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.stTextArea textarea {
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font-size: 16px;
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min-height: 120px;
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}
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.result-box {
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background-color: #f9f9f9;
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padding: 20px;
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border-radius: 10px;
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box-shadow: 0px 4px 8px rgba(0, 0, 0, 0.1);
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margin-top: 20px;
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}
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.verdict {
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font-size: 24px;
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font-weight: bold;
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margin: 0;
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display: flex;
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align-items: center;
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}
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.verdict-icon {
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margin-right: 10px;
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}
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/* Fix the tabs at the top */
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div[data-baseweb="tab-list"] {
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position: sticky;
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top: 55px; /* Height of the header */
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background-color: white;
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z-index: 99;
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}
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.stSidebar .sidebar-content {
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background-color: #f0f2f6;
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padding: 20px;
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border-radius: 10px;
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}
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.stSidebar .st-expander {
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background-color: #ffffff;
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border-radius: 10px;
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padding: 10px;
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margin-bottom: 10px;
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}
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.stSidebar .stSlider {
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margin-bottom: 20px;
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}
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.stSidebar .stSelectbox {
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margin-bottom: 20px;
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}
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.stSidebar .stCheckbox {
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margin-bottom: 20px;
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}
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</style>
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""",
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unsafe_allow_html=True,
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)
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# Container for the whole content with dynamic height
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with st.container():
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st.markdown("<p class='big-title'>SemViQA: Vietnamese Semantic QA for Fact Verification</p>", unsafe_allow_html=True)
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st.markdown("<p class='sub-title'>Enter the claim and context to verify its accuracy</p>", unsafe_allow_html=True)
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# Sidebar: Global Settings
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with st.sidebar.expander("⚙️ Settings", expanded=True):
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"SemViQA/tc-erniem-viwikifc",
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"SemViQA/tc-erniem-isedsc01"
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])
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show_details = st.checkbox("Show Probability Details", value=False)
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# Store verification history
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if 'history' not in st.session_state:
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st.session_state.history = []
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if 'latest_result' not in st.session_state:
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st.session_state.latest_result = None
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# Load the selected models
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tokenizer_qatc, model_qatc = load_model(qatc_model_name, QATCForQuestionAnswering)
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tokenizer_bc, model_bc = load_model(bc_model_name, ClaimModelForClassification, is_bc=True)
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tokenizer_tc, model_tc = load_model(tc_model_name, ClaimModelForClassification)
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"NEI": "⚠️"
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}
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# Tabs: Verify, History, About
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tabs = st.tabs(["Verify", "History", "About"])
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# --- Tab Verify ---
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with tabs[0]:
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st.subheader("Verify a Claim")
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# 2-column layout: input on the left, results on the right
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col_input, col_result = st.columns([2, 1])
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with col_input:
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claim = st.text_area("Enter Claim", "Vietnam is a country in Southeast Asia.")
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context = st.text_area("Enter Context", "Vietnam is a country located in Southeast Asia, covering an area of over 331,000 km² with a population of more than 98 million people.")
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verify_button = st.button("Verify", key="verify_button")
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with col_result:
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st.markdown("<h3>Verification Result</h3>", unsafe_allow_html=True)
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if verify_button:
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# Placeholder for displaying result/loading
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result_placeholder = st.empty()
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result_placeholder.markdown("<em>Verifying...</em>")
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with torch.no_grad():
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# Extract evidence and classify the claim
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evidence = extract_evidence_tfidf_qatc(
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claim, context, model_qatc, tokenizer_qatc,
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"cuda" if torch.cuda.is_available() else "cpu",
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verdict = ["NEI", "SUPPORTED", "REFUTED"][pred_tc]
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if show_details:
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details = f"<p><strong>3-Class Probability:</strong> {prob3class.item():.2f} - <strong>2-Class Probability:</strong> {prob2class.item():.2f}</p>"
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# Store verification history and the latest result
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st.session_state.history.append({
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"claim": claim,
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"evidence": evidence,
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"verdict": verdict,
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"details": details
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}
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if torch.cuda.is_available():
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torch.cuda.empty_cache()
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# Display the result after verification
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res = st.session_state.latest_result
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result_placeholder.markdown(f"""
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<div class='result-box'>
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<p><strong>Claim:</strong> {res['claim']}</p>
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<p><strong>Evidence:</strong> {res['evidence']}</p>
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{res['details']}
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</div>
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""", unsafe_allow_html=True)
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# Download Verification Result Feature
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result_text = f"Claim: {res['claim']}\nEvidence: {res['evidence']}\nVerdict: {res['verdict']}\nDetails: {res['details']}"
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st.download_button("Download Result", data=result_text, file_name="verification_result.txt", mime="text/plain")
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else:
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st.info("No verification result yet.")
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# --- Tab History ---
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with tabs[1]:
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st.subheader("Verification History")
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if st.session_state.history:
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else:
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st.write("No verification history yet.")
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# --- Tab About ---
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with tabs[2]:
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st.subheader("About")
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st.markdown("""
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""", unsafe_allow_html=True)
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st.markdown("""
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**Description:**
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SemViQA is a Semantic QA system designed for fact verification in Vietnamese.
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The system extracts evidence from the provided context and classifies claims as **SUPPORTED**, **REFUTED**, or **NEI** (Not Enough Information) using advanced models.
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""")
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