Update demo2/pages/__init__.py

demo2/pages/__init__.py

@@ -106,17 +106,17 @@ from .engine import run_engine
 languages = ["EN","TR"]
 lang = solara.reactive("EN")
 
-lbl_land_use_btn = [{'EN': 'civil societies',
+lbl_land_use_btn = [{'EN': 'Option 1',
                      'TR': 'sivil toplum'},
-                     {'EN': 'women',
+                     {'EN': 'Option 2',
                      'TR': 'kadınlar'},
-                     {'EN': 'youth',
+                     {'EN': 'Option 3',
                      'TR': 'gençler'}]
 lbl_hazard_btn = [{'EN': 'EARTHQUAKE',
                      'TR': 'DEPREM'},
                      {'EN': 'FLOOD',
                      'TR': 'SEL'}]
-lbl_maintitle = {'EN': 'Tomorrow\'s Cities Decision Making Simulation','TR': 'Yarının Şehirleri için Karar Verme Simülasyonu'}
+lbl_maintitle = {'EN': 'Tomorrow\'s Cities Decision Making Game','TR': 'Yarının Şehirleri için Karar Verme Oyunu'}
 lbl_earthquake= {'EN': 'Earthquake', 'TR': 'Deprem'}
 lbl_flood = {'EN': 'Flood', 'TR': 'Sel'}
 lbl_debris = {'EN': 'Landslide', 'TR': 'Heyelan'}
@@ -129,12 +129,11 @@ lbl_policy_card_title = {'EN': '4. Select three policies to make your city resil
 lbl_too_many_policy_selected_error = {'EN': 'You cannot select more than three policies', 
                               'TR': 'Üçten fazla politika seçemezsiniz'}
 lbl_infobox = {'EN': f'''
-               Our decisions directly influence our future. It is critical for a 
-               resilient city life where the decisions at the city scale  reduces the disaster risk in the future.
-               In this simulation, we calculate possible disaster impacts calculated with Tomorrow's Cities Decision 
-               Support System (TCDSE). The simulation shows how earthquake and flood hazards that may occur 
-               in an urban environment affect different urban scenarios. To use the simulation 1) Check land use 2) Select the 
-               possible hazard 3) Select the possible city scenarios for the future 4) choose policies 5) Run and check the metrics.
+               1) Check the land-use<br>
+               2) Select the possible hazard<br>
+               3) Select desired land-use plans<br>
+               4) Select 3 policies to protect you future city<br>
+               5) Run and check the metrics
                ''', 
                "TR": f'''
             Aldığımız kararlar, geleceğimizi doğrudan etkilemektedir. Kent ölçeğinde alınan kararların, gelecekte afet riskini azaltacak 
@@ -295,17 +294,17 @@ for luf_label in luf_types:
 
 policies = [1,2,3,4,5,6]
 lbl_policy = dict()
-lbl_policy[1] = {'EN': 'Loans for reconstruction for minor to moderate damages', 
+lbl_policy[1] = {'EN': 'Loans for damages', 
                  'TR': 'Küçük ila orta dereceli hasarlar için yeniden yapılanma kredileri'}
-lbl_policy[2] = {'EN': 'Knowledge sharing about disaster risk reduction in schools', 
+lbl_policy[2] = {'EN': 'Knowledge sharing about DRR', 
                  'TR': 'Devlet ve özel okullarda afet risklerinin azaltılması hakkında bilgi paylaşımı'}
 lbl_policy[3] = {'EN': 'Catastrophe bond for education/health facilities', 
                  'TR': 'Eğitim ve sağlık tesislerini yapılandırmak için afet bonosu'}
-lbl_policy[4] = {'EN': 'Repair loan assistance for flooding', 
+lbl_policy[4] = {'EN': 'Investment in water and drainage infrastructure', 
                  'TR': 'Sel için onarım kredisi yardımı'}
-lbl_policy[5] = {'EN': 'Technical assistance for debris removal in education facilities', 
+lbl_policy[5] = {'EN': 'Funding community-based networks', 
                  'TR': 'Eğitim tesislerinde enkaz kaldırma için teknik yardım'}
-lbl_policy[6] = {'EN': 'Compulsory content insurance for schools and hospitals', 
+lbl_policy[6] = {'EN': 'Investments in road networks', 
                  'TR': 'Okullar ve hastaneler için zorunlu eşya sigortası'}
 #lbl_policy[7] = {'EN': 'Green resilient infrastructure (prevention) & financial support for business recovery', 'TR': 'Politika 7'}
 #lbl_policy[8] = {'EN': 'Green resilient infrastructure (prevention), reinforcement of schools, hospitals & shelters, financial support for affected business & household', 'TR': 'Politika 8'}
@@ -617,7 +616,7 @@ def Page():
     with solara.Columns([1,98,1]):
         solara.HTML(unsafe_innerHTML="")
         with solara.Column():
-            with solara.Columns(([15,15,45,20,10]), style="display: flex; justify-content: center; align-items: center;"):
+            with solara.Columns(([15,15,50,25]), style="display: flex; justify-content: center; align-items: center;"):
                 solara.HTML(unsafe_innerHTML="")
                 with solara.Column():
                     solara.Markdown("""[![Tomorrow's Cities](/static/public/tc-logo.png)](https://tomorrowscities.org/)""")
@@ -625,9 +624,9 @@ def Page():
                 solara.HTML(unsafe_innerHTML=lbl_maintitle[lang.value],classes=["maintitle"])
                 with solara.Column():
                     solara.Markdown("""[![UR24](/static/public/ur-logo.png)](https://urpartner.io/)""")
-                with solara.ToggleButtonsSingle(value=lang):
-                    solara.Button(label="EN", value="EN", text=True,classes=["langbutton"],style="height: 26px;")
-                    solara.Button(label="TR", value="TR", text=True,classes=["langbutton"],style="height: 26px;")
+                #with solara.ToggleButtonsSingle(value=lang):
+                    #solara.Button(label="EN", value="EN", text=True,classes=["langbutton"],style="height: 26px;")
+                    #solara.Button(label="TR", value="TR", text=True,classes=["langbutton"],style="height: 26px;")
             with solara.Columns([50,50]):
                 with solara.Column(gap="2px"):
                     with solara.Card(title=lbl_tv0_map_title[lang.value]):