cd14 commited on
Commit
8b30d64
·
1 Parent(s): 2c8af08

bug fixing for df_recom_extra

Browse files
Files changed (1) hide show
  1. app.py +4 -3
app.py CHANGED
@@ -648,7 +648,7 @@ def get_predictions(selected_variable, selected_industry, selected_campaign,
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  st.markdown('##### selected_cta is: <span style="color:yellow">{}</span>'.format(selected_cta), unsafe_allow_html=True)
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  if selected_cta == 'Color':
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  df_recom = df_recom_sort.drop_duplicates(subset=['cta_color'], keep='last')
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- st.markdown('##### df_recom is: <span style="color:yellow">{}</span>'.format(df_recom), unsafe_allow_html=True)
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  replaces = False
@@ -664,10 +664,9 @@ def get_predictions(selected_variable, selected_industry, selected_campaign,
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  print(f"\nTo get a higher {selected_variable}, the model recommends the following options: ")
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  if len(df_recom_opt_rank_out) < 2:
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- st.markdown('##### Youve already achieved the highest {} with the current Call-To-Action Colors!'.format(selected_variable), unsafe_allow_html=True)
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  # print("You've already achieved the highest", selected_variable,
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  # "with the current Call-To-Action Colors!")
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- st.markdown('##### df_recom_extra: {}'.format(df_recom_extra), unsafe_allow_html=True)
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  increment = output_rate + (0.02*3)
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  for _, row in df_recom_extra.iterrows():
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  target_rate = random.uniform(increment - 0.02, increment)
@@ -683,6 +682,8 @@ def get_predictions(selected_variable, selected_industry, selected_campaign,
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  for _, row in df_recom_opt_rank_out.iterrows():
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  target_rate = row[4]
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  recom_cta = row[2]
 
 
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  print(f" {(color(' ', fore='#ffffff', back=recom_cta))} \x1b[1m{round(target_rate*100, 2)}%\x1b[22m")
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  elif selected_cta == 'Text':
 
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  st.markdown('##### selected_cta is: <span style="color:yellow">{}</span>'.format(selected_cta), unsafe_allow_html=True)
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  if selected_cta == 'Color':
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  df_recom = df_recom_sort.drop_duplicates(subset=['cta_color'], keep='last')
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+ # st.markdown('##### df_recom is: <span style="color:yellow">{}</span>'.format(df_recom), unsafe_allow_html=True)
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  replaces = False
 
664
 
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  print(f"\nTo get a higher {selected_variable}, the model recommends the following options: ")
666
  if len(df_recom_opt_rank_out) < 2:
667
+ # st.markdown('##### Youve already achieved the highest {} with the current Call-To-Action Colors!'.format(selected_variable), unsafe_allow_html=True)
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  # print("You've already achieved the highest", selected_variable,
669
  # "with the current Call-To-Action Colors!")
 
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  increment = output_rate + (0.02*3)
671
  for _, row in df_recom_extra.iterrows():
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  target_rate = random.uniform(increment - 0.02, increment)
 
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  for _, row in df_recom_opt_rank_out.iterrows():
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  target_rate = row[4]
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  recom_cta = row[2]
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+ st.markdown('##### recom_cta is: <span style="color:yellow">{}</span>'.format(recom_cta), unsafe_allow_html=True)
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+ st.markdown('##### target_rate for recom_cta is: <span style="color:yellow">{}</span>'.format(target_rate), unsafe_allow_html=True)
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  print(f" {(color(' ', fore='#ffffff', back=recom_cta))} \x1b[1m{round(target_rate*100, 2)}%\x1b[22m")
688
 
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  elif selected_cta == 'Text':