add approx talent stat

add approx talent stat (very crude)

app.py

@@ -72,8 +72,8 @@ def display_image(url, scale=0.5, enable_flag = False):
         # st.image(image.resize(( int(image.width * scale), int(image.height * scale))))
 
         
-        # The problem occur because imgur remove file extension e.g. 'jpg', 
-        # so either url is wrong with urlopen or Image.open does not know image type if use requests/urllib3
+        #The problem occur because imgur remove file extension e.g. 'jpg', 
+        #so either url is wrong with urlopen or Image.open does not know image type if use requests/urllib3
         st.image(url)
 
 def display_heroes_from_df(df,display_cols=display_cols, show_df=True):
@@ -394,5 +394,26 @@ else:
     lb_list = ['None', 'LB1', 'LB2']
     lb_choice = st.selectbox(label='Limit Break:', options=lb_list, index=0)
 
+    talent_list = ['None', 'Sword', 'Shield', 'Health']
+    # talent_choice = st.radio(  
+    #     "Approx. Talent",
+    #     talent_list,
+    #     captions = ["Default", "Talents stat are all cruded approximated. Visit heroplan.io for exact calculation."]
+    # )
+    talent_choice = st.selectbox(label='Approx. Talent (stat are all cruded approximated. Visit heroplan.io for exact calculation.) :', options=talent_list, index=0)
+    talent_tp, talent_attack, talent_defense, talent_health = 0, 0, 0, 0
+    if talent_choice == 'Sword':
+        talent_tp, talent_attack, talent_defense, talent_health = 100, 150, 50, 100
+    elif talent_choice == 'Shield':
+        talent_tp, talent_attack, talent_defense, talent_health = 100, 50, 150, 100
+    elif talent_choice == 'Health':
+        talent_tp, talent_attack, talent_defense, talent_health = 100, 75, 75, 200
+        
+    
     df_ret = return_hero_stat(df_extra, name_choice, lb_choice=lb_choice, costume_choice=costume_choice)
-    display_heroes_from_df(df_ret,display_cols=df_ret.columns[:-2]) # display all except special-skill text
+    df_ret.power.values[0] += talent_tp
+    df_ret.attack.values[0] += talent_attack
+    df_ret.defense.values[0] += talent_defense
+    df_ret.health.values[0] += talent_health
+    
+    display_heroes_from_df(df_ret,display_cols=df_ret.columns[:-2]) # display all except special-skill text