Added Applicable Models

app.py

@@ -72,6 +72,7 @@ def showmodal(evt: gr.SelectData):
     authormd = gr.Markdown("",visible=False)
     tagsmd = gr.Markdown("",visible=False)
     abstractmd = gr.Markdown("",visible=False)
+    modelsmd = gr.Markdown("",visible=False)
     datasetmd = gr.Markdown("",visible=False)
     gallery = gr.Gallery([],visible=False)
     if evt.index[1] == 5:
@@ -84,6 +85,12 @@ def showmodal(evt: gr.SelectData):
                 tagstr = ''.join(['<span class="tag">#'+tag+'</span> ' for tag in tags])
                 tagsmd = gr.Markdown(tagstr, visible=True)
 
+        models = itemdic['Applicable Models']
+        if isinstance(models, list):
+            if len(models) > 0:
+                modelstr = '### Applicable Models: '+''.join(['<span class="tag">'+model+'</span> ' for model in models])
+                modelsmd = gr.Markdown(modelstr, visible=True)
+
         titlemd = gr.Markdown('# ['+itemdic['Link']+']('+itemdic['URL']+')',visible=True)
 
         if pd.notnull(itemdic['Authors']):
@@ -100,7 +107,7 @@ def showmodal(evt: gr.SelectData):
             if len(screenshots) > 0:
                 gallery = gr.Gallery(screenshots, visible=True)
                 
-    return [modal, titlemd, authormd, tagsmd, abstractmd, datasetmd, gallery]
+    return [modal, titlemd, authormd, tagsmd, abstractmd, modelsmd, datasetmd, gallery]
 
 with gr.Blocks(title = "Social Impact Measurement V2", css=custom_css) as demo: #theme=gr.themes.Soft(), 
     # create tabs for the app, moving the current table to one titled "rewardbench" and the benchmark_text to a tab called "About"
@@ -151,9 +158,10 @@ The following categories are high-level, non-exhaustive, and present a synthesis
                     authormd = gr.Markdown(visible=False)
                     tagsmd = gr.Markdown(visible=False)
                     abstractmd = gr.Markdown(visible=False)
+                    modelsmd = gr.Markdown(visible=False)
                     datasetmd = gr.Markdown(visible=False)
                     gallery = gr.Gallery(visible=False)
-                table_filtered.select(showmodal, None, [modal, titlemd, authormd, tagsmd, abstractmd, datasetmd, gallery])
+                table_filtered.select(showmodal, None, [modal, titlemd, authormd, tagsmd, abstractmd, modelsmd, datasetmd, gallery])
 
 
 
@@ -189,9 +197,10 @@ The following categories are high-level, non-exhaustive, and present a synthesis
                     authormd = gr.Markdown(visible=False)
                     tagsmd = gr.Markdown(visible=False)
                     abstractmd = gr.Markdown(visible=False)
+                    modelsmd = gr.Markdown(visible=False)
                     datasetmd = gr.Markdown(visible=False)
                     gallery = gr.Gallery(visible=False)
-                table_filtered.select(showmodal, None, [modal, titlemd, authormd, tagsmd, abstractmd, datasetmd, gallery])
+                table_filtered.select(showmodal, None, [modal, titlemd, authormd, tagsmd, abstractmd, modelsmd, datasetmd, gallery])
             
 
 
@@ -231,9 +240,10 @@ The following categories are high-level, non-exhaustive, and present a synthesis
                     authormd = gr.Markdown(visible=False)
                     tagsmd = gr.Markdown(visible=False)
                     abstractmd = gr.Markdown(visible=False)
+                    modelsmd = gr.Markdown(visible=False)
                     datasetmd = gr.Markdown(visible=False)
                     gallery = gr.Gallery(visible=False)
-                table_filtered.select(showmodal, None, [modal, titlemd, authormd, tagsmd, abstractmd, datasetmd, gallery])
+                table_filtered.select(showmodal, None, [modal, titlemd, authormd, tagsmd, abstractmd, modelsmd, datasetmd, gallery])
 
         # with gr.TabItem("Financial Costs"):
         #     with gr.Row():