Update app.py

app.py

@@ -103,35 +103,19 @@ span.svelte-s1r2yt{font-weight: bold !important;
 }
 """
     with gr.Blocks(css=css) as demo:
-        with gr.Tab(label="DATASETS",elem_id="dts"):
-            with gr.Row():
-                gr.Image(value="RAII.svg",scale=1,show_download_button=False,show_share_button=False,show_label=False,height=100,container=False) 
-                gr.Markdown("# Datasets for Healthcare Teams")
-            search_box = gr.Textbox( label='Search Name', placeholder='You can search for titles with regular expressions. e.g. (?<!sur)face',max_lines=1)
-            case_sensitive = gr.Checkbox(label='Case Sensitive')
-            filter_names = gr.CheckboxGroup(choices=['Real Data','Synthetic Data',], value=['Real Data','Synthetic Data',], label='Type')
-            data_type_names = ['Claims','Scientific','Corpus',]
-            data_types = gr.CheckboxGroup(choices=data_type_names, value=data_type_names, label='Tags')
-            search_button = gr.Button('Search')
-            table = gr.HTML(show_label=False)
-            demo.load(fn=data_list.render, inputs=[search_box, case_sensitive, filter_names, data_types,],outputs=[table,])
-            search_box.submit(fn=data_list.render, inputs=[search_box, case_sensitive, filter_names, data_types,], outputs=[table,])
-            search_button.click(fn=data_list.render, inputs=[search_box, case_sensitive, filter_names, data_types,], outputs=[table,])
-            
-        with gr.Tab(label="MODELS",elem_id="mdls"):
-            with gr.Row():
-                gr.Image(value="RAII.svg",scale=1,show_download_button=False,show_share_button=False,show_label=False,height=100,container=False) 
-                gr.Markdown("# Models for Healthcare Teams")
-            search_box = gr.Textbox(label='Search Name',placeholder='You can search for titles with regular expressions. e.g. (?<!sur)face',max_lines=1)
-            case_sensitive = gr.Checkbox(label='Case Sensitive')
-            filter_names1 = gr.CheckboxGroup(choices=['NLP','Computer Vision', 'Multi-Model'], value=['NLP','Computer Vision', 'Multi-Model'], label='Task')
-            data_type_names1 = ['Biomedical Corpus','Scientific Corpus','Clinical Corpus','Image','Mixed']
-            data_types1 = gr.CheckboxGroup(choices=data_type_names1, value=data_type_names1, label='Training Data Type')
-            search_button = gr.Button('Search')
-            table = gr.HTML(show_label=False)
-            demo.load(fn=model_list.render, inputs=[search_box, case_sensitive, filter_names1, data_types1,],outputs=[table,])
-            search_box.submit(fn=model_list.render, inputs=[search_box, case_sensitive, filter_names1, data_types1,], outputs=[table,])
-            search_button.click(fn=model_list.render, inputs=[search_box, case_sensitive, filter_names1, data_types1,], outputs=[table,])
+        with gr.Row():
+            gr.Image(value="RAII.svg",scale=1,show_download_button=False,show_share_button=False,show_label=False,height=100,container=False) 
+            gr.Markdown("# Datasets for Healthcare Teams")
+        search_box = gr.Textbox( label='Search Name', placeholder='You can search for titles with regular expressions. e.g. (?<!sur)face',max_lines=1)
+        case_sensitive = gr.Checkbox(label='Case Sensitive')
+        filter_names = gr.CheckboxGroup(choices=['Real Data','Synthetic Data',], value=['Real Data','Synthetic Data',], label='Type')
+        data_type_names = ['Claims','Scientific','Corpus',]
+        data_types = gr.CheckboxGroup(choices=data_type_names, value=data_type_names, label='Tags')
+        search_button = gr.Button('Search')
+        table = gr.HTML(show_label=False)
+        demo.load(fn=data_list.render, inputs=[search_box, case_sensitive, filter_names, data_types,],outputs=[table,])
+        search_box.submit(fn=data_list.render, inputs=[search_box, case_sensitive, filter_names, data_types,], outputs=[table,])
+        search_button.click(fn=data_list.render, inputs=[search_box, case_sensitive, filter_names, data_types,], outputs=[table,])    
 
     demo.queue()
     demo.launch(share=False)