AndySAnker commited on
Commit
0942112
1 Parent(s): f2c8162

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +5 -10
app.py CHANGED
@@ -78,16 +78,11 @@ def POMPredicter(POMFinder, Gr, y_onehotenc_cat):
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  y_pred_proba = y_pred_proba[:,1];
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  res = sorted(range(len(y_pred_proba)), key = lambda sub: y_pred_proba[sub]);
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  res.reverse();
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- #st.markdown(f'<span style="font-size: 24px; color: green;">The 1st guess from the model is: <b>{str(y_onehotenc_cat.categories_[0][res[0]])[2:-2]+"cale.xyz"}</b> with a probability of {y_pred_proba[res[0]]}</span> <hr/>',unsafe_allow_html=True)
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- #st.markdown(f'<span style="font-size: 24px; color: green;">The 2nd guess from the model is: <b>{str(y_onehotenc_cat.categories_[0][res[1]])[2:-2]+"cale.xyz"}</b> with a probability of {y_pred_proba[res[1]]}</span> <hr/>',unsafe_allow_html=True)
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- #st.markdown(f'<span style="font-size: 24px; color: green;">The 3rd guess from the model is: <b>{str(y_onehotenc_cat.categories_[0][res[2]])[2:-2]+"cale.xyz"}</b> with a probability of {y_pred_proba[res[2]]}</span> <hr/>',unsafe_allow_html=True)
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- #st.markdown(f'<span style="font-size: 24px; color: green;">The 4th guess from the model is: <b>{str(y_onehotenc_cat.categories_[0][res[3]])[2:-2]+"cale.xyz"}</b> with a probability of {y_pred_proba[res[3]]}</span> <hr/>',unsafe_allow_html=True)
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- #st.markdown(f'<span style="font-size: 24px; color: green;">The 5th guess from the model is: <b>{str(y_onehotenc_cat.categories_[0][res[4]])[2:-2]+"cale.xyz"}</b> with a probability of {y_pred_proba[res[4]]}</span> <hr/>',unsafe_allow_html=True)
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- st.markdown(f'<span style="font-size: 24px; color: green;">The 1st guess from the model is: <b>{str(y_onehotenc_cat.categories_[0][res[0]])[2:-2]+"cale.xyz"}</b> with a probability of {y_pred_proba[res[0]]:.2f}</span> <hr/>',unsafe_allow_html=True)
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- st.markdown(f'<span style="font-size: 24px; color: green;">The 2nd guess from the model is: <b>{str(y_onehotenc_cat.categories_[0][res[1]])[2:-2]+"cale.xyz"}</b> with a probability of {y_pred_proba[res[1]]:.2f}</span> <hr/>',unsafe_allow_html=True)
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- st.markdown(f'<span style="font-size: 24px; color: green;">The 3rd guess from the model is: <b>{str(y_onehotenc_cat.categories_[0][res[2]])[2:-2]+"cale.xyz"}</b> with a probability of {y_pred_proba[res[2]]:.2f}</span> <hr/>',unsafe_allow_html=True)
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- st.markdown(f'<span style="font-size: 24px; color: green;">The 4th guess from the model is: <b>{str(y_onehotenc_cat.categories_[0][res[3]])[2:-2]+"cale.xyz"}</b> with a probability of {y_pred_proba[res[3]]:.2f}</span> <hr/>',unsafe_allow_html=True)
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- st.markdown(f'<span style="font-size: 24px; color: green;">The 5th guess from the model is: <b>{str(y_onehotenc_cat.categories_[0][res[4]])[2:-2]+"cale.xyz"}</b> with a probability of {y_pred_proba[res[4]]:.2f}</span> <hr/>',unsafe_allow_html=True)
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  return res, y_pred_proba
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  y_pred_proba = y_pred_proba[:,1];
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  res = sorted(range(len(y_pred_proba)), key = lambda sub: y_pred_proba[sub]);
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  res.reverse();
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+ st.markdown(f'<span style="font-size: 24px; color: green;">The 1st guess from the model is: <b>{str(y_onehotenc_cat.categories_[0][res[0]])[2:-2]+"cale.xyz"}</b> with a probability of {y_pred_proba[res[0]]:.2f} %</span> <hr/>',unsafe_allow_html=True)
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+ st.markdown(f'<span style="font-size: 24px; color: green;">The 2nd guess from the model is: <b>{str(y_onehotenc_cat.categories_[0][res[1]])[2:-2]+"cale.xyz"}</b> with a probability of {y_pred_proba[res[1]]:.2f} %</span> <hr/>',unsafe_allow_html=True)
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+ st.markdown(f'<span style="font-size: 24px; color: green;">The 3rd guess from the model is: <b>{str(y_onehotenc_cat.categories_[0][res[2]])[2:-2]+"cale.xyz"}</b> with a probability of {y_pred_proba[res[2]]:.2f} %</span> <hr/>',unsafe_allow_html=True)
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+ st.markdown(f'<span style="font-size: 24px; color: green;">The 4th guess from the model is: <b>{str(y_onehotenc_cat.categories_[0][res[3]])[2:-2]+"cale.xyz"}</b> with a probability of {y_pred_proba[res[3]]:.2f} %</span> <hr/>',unsafe_allow_html=True)
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+ st.markdown(f'<span style="font-size: 24px; color: green;">The 5th guess from the model is: <b>{str(y_onehotenc_cat.categories_[0][res[4]])[2:-2]+"cale.xyz"}</b> with a probability of {y_pred_proba[res[4]]:.2f} %</span> <hr/>',unsafe_allow_html=True)
 
 
 
 
 
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  return res, y_pred_proba
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