Spaces:
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Update app.py
Browse files
app.py
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@@ -200,66 +200,67 @@ with st.container():
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# Placeholder for displaying result/loading
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with st.spinner("Verifying..."):
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start_time = time.time()
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"cuda" if torch.cuda.is_available() else "cpu"
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)
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if
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"evidence_time": evidence_time,
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"verdict_time": verdict_time,
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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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# Placeholder for displaying result/loading
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with st.spinner("Verifying..."):
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start_time = time.time()
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# Extract evidence
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evidence_start_time = time.time()
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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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confidence_threshold=tfidf_threshold,
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length_ratio_threshold=length_ratio_threshold
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)
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evidence_time = time.time() - evidence_start_time
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# Classify the claim
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verdict_start_time = time.time()
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verdict = "NEI"
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details = ""
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prob3class, pred_tc = classify_claim(
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claim, evidence, model_tc, tokenizer_tc,
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"cuda" if torch.cuda.is_available() else "cpu"
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)
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if pred_tc == 1:
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verdict = "SUPPORTED"
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elif pred_tc == 2:
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verdict = "REFUTED"
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else:
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prob2class, pred_bc = classify_claim(
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claim, evidence, model_bc, tokenizer_bc,
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"cuda" if torch.cuda.is_available() else "cpu"
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)
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if pred_bc == 0:
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verdict = "SUPPORTED"
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else:
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verdict = "REFUTED"
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if show_details:
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details = f"""
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<p><strong>3-Class Probability:</strong> {prob3class.item():.2f}</p>
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<p><strong>3-Class Predicted Label:</strong> {['NEI', 'SUPPORTED', 'REFUTED'][pred_tc]}</p>
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<p><strong>2-Class Probability:</strong> {prob2class.item():.2f}</p>
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<p><strong>2-Class Predicted Label:</strong> {['SUPPORTED', 'REFUTED'][pred_bc]}</p>
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"""
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verdict_time = time.time() - verdict_start_time
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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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"evidence_time": evidence_time,
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"verdict_time": verdict_time,
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"details": details
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})
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st.session_state.latest_result = {
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"claim": claim,
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"evidence": evidence,
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"verdict": verdict,
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"evidence_time": evidence_time,
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"verdict_time": verdict_time,
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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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