Spaces:
Runtime error
Runtime error
modifying the result view
Browse files
app.py
CHANGED
@@ -380,7 +380,7 @@ if st.button('Generate Predictions'):
|
|
380 |
print(
|
381 |
"Sorry, Current model couldn't provide predictions on the target variable you selected.")
|
382 |
else:
|
383 |
-
st.markdown('
|
384 |
character_cnt), unsafe_allow_html=True)
|
385 |
# st.info('The model predicts that it achieves a {} of {}%'.format(target, str(round(output_rate*100,2))))
|
386 |
if target == 'conversion_rate':
|
@@ -388,7 +388,7 @@ if st.button('Generate Predictions'):
|
|
388 |
else:
|
389 |
target_vis = 'Open_Rate'
|
390 |
|
391 |
-
st.markdown('
|
392 |
target_vis, str(round(output_rate*100, 3))), unsafe_allow_html=True)
|
393 |
selected_industry_code = industry_code_dict.get(industry)
|
394 |
|
@@ -440,10 +440,10 @@ if st.button('Generate Predictions'):
|
|
440 |
if selected_variable == "Click_Through_Rate":
|
441 |
selected_variable = "Conversion_Rate"
|
442 |
|
443 |
-
st.markdown('
|
444 |
selected_variable), unsafe_allow_html=True)
|
445 |
if len(df_reco_opt_rank) == 0:
|
446 |
-
st.markdown('
|
447 |
selected_variable), unsafe_allow_html=True)
|
448 |
else:
|
449 |
#for _, row in df_reco_opt_rank.iterrows():
|
|
|
380 |
print(
|
381 |
"Sorry, Current model couldn't provide predictions on the target variable you selected.")
|
382 |
else:
|
383 |
+
st.markdown('##### Current Character Count in Your Email is: <span style="color:blue">{}</span>'.format(
|
384 |
character_cnt), unsafe_allow_html=True)
|
385 |
# st.info('The model predicts that it achieves a {} of {}%'.format(target, str(round(output_rate*100,2))))
|
386 |
if target == 'conversion_rate':
|
|
|
388 |
else:
|
389 |
target_vis = 'Open_Rate'
|
390 |
|
391 |
+
st.markdown('##### The model predicts that it achieves a <span style="color:blue">{}</span> of <span style="color:blue">{}</span>%'.format(
|
392 |
target_vis, str(round(output_rate*100, 3))), unsafe_allow_html=True)
|
393 |
selected_industry_code = industry_code_dict.get(industry)
|
394 |
|
|
|
440 |
if selected_variable == "Click_Through_Rate":
|
441 |
selected_variable = "Conversion_Rate"
|
442 |
|
443 |
+
st.markdown('##### To get higher, <span style="color:blue">{}</span>, the model recommends the following options:'.format(
|
444 |
selected_variable), unsafe_allow_html=True)
|
445 |
if len(df_reco_opt_rank) == 0:
|
446 |
+
st.markdown('##### You ve already achieved the highest, <span style="color:blue">{}</span>, with the current character count!'.format(
|
447 |
selected_variable), unsafe_allow_html=True)
|
448 |
else:
|
449 |
#for _, row in df_reco_opt_rank.iterrows():
|