EAV123 commited on
Commit
46a5649
·
verified ·
1 Parent(s): fedc4fb

Update app.py

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Files changed (1) hide show
  1. app.py +30 -5
app.py CHANGED
@@ -264,23 +264,48 @@ if st.session_state.analysis_stage >= 2 and st.session_state.ensemble_result is
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  vote_ratio = vote_malicious / (vote_benign + vote_malicious)
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  st.progress(vote_ratio, text=f"Malicious vote ratio: {vote_ratio*100:.0f}%")
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- # Individual model results
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  st.markdown("### Individual Model Results")
 
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  model_cols = st.columns(4)
 
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  with model_cols[0]:
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  st.markdown("**Random Forest**")
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- st.error("⚠️ Malicious") if results['rf'] == 1 else st.success("✅ Safe")
 
 
 
 
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  with model_cols[1]:
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  st.markdown("**SVM**")
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- st.error("⚠️ Malicious") if results['svm'] == 1 else st.success("✅ Safe")
 
 
 
 
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  with model_cols[2]:
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  st.markdown("**CNN**")
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  cnn_prob = results['cnn']['probability'] * 100
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- st.error(f"⚠️ Malicious ({cnn_prob:.1f}%)") if results['cnn']['prediction'] == 1 else st.success(f"✅ Safe ({100-cnn_prob:.1f}%)")
 
 
 
 
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  with model_cols[3]:
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  st.markdown("**LSTM**")
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  lstm_prob = results['lstm']['probability'] * 100
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- st.error(f"⚠️ Malicious ({lstm_prob:.1f}%)") if results['lstm']['prediction'] == 1 else st.success(f"✅ Safe ({100-lstm_prob:.1f}%)")
 
 
 
 
 
 
 
 
 
 
 
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  # Final ensemble verdict
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  st.markdown("### Ensemble Verdict")
 
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  vote_ratio = vote_malicious / (vote_benign + vote_malicious)
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  st.progress(vote_ratio, text=f"Malicious vote ratio: {vote_ratio*100:.0f}%")
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+ # Display individual model results
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  st.markdown("### Individual Model Results")
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+
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  model_cols = st.columns(4)
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+
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  with model_cols[0]:
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  st.markdown("**Random Forest**")
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+ if results['rf'] == 1:
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+ st.error("⚠️ Malicious")
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+ else:
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+ st.success("✅ Safe")
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+
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  with model_cols[1]:
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  st.markdown("**SVM**")
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+ if results['svm'] == 1:
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+ st.error("⚠️ Malicious")
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+ else:
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+ st.success("✅ Safe")
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+
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  with model_cols[2]:
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  st.markdown("**CNN**")
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  cnn_prob = results['cnn']['probability'] * 100
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+ if results['cnn']['prediction'] == 1:
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+ st.error(f"⚠️ Malicious ({cnn_prob:.1f}%)")
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+ else:
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+ st.success(f"✅ Safe ({100-cnn_prob:.1f}%)")
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+
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  with model_cols[3]:
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  st.markdown("**LSTM**")
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  lstm_prob = results['lstm']['probability'] * 100
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+ if results['lstm']['prediction'] == 1:
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+ st.error(f"⚠️ Malicious ({lstm_prob:.1f}%)")
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+ else:
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+ st.success(f"✅ Safe ({100-lstm_prob:.1f}%)")
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+
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+ # Final ensemble verdict
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+ st.markdown("### Ensemble Verdict")
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+ if results['ensemble'] == 1:
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+ st.error("🚨 SQL Injection Detected by Majority Vote!")
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+ else:
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+ st.success("✅ Query deemed safe by majority vote")
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+
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  # Final ensemble verdict
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  st.markdown("### Ensemble Verdict")