Update app.py

app.py

@@ -14,6 +14,19 @@ CITATION_BUTTON_TEXT = r"""@misc{2023opencompass,
 }"""
 CITATION_BUTTON_LABEL = "Copy the following snippet to cite these results"
 
+
+head_style = """
+<style>
+@media (min-width: 1536px)
+{
+    .gradio-container {
+        min-width: var(--size-full) !important;
+    }
+}
+</style>
+"""
+
+
 DATA_URL_BASE = "http://opencompass.oss-cn-shanghai.aliyuncs.com/dev-assets/hf-research/"
 
 def findfile():
@@ -35,27 +48,54 @@ MAIN_LEADERBOARD_DESCRIPTION = """## Compass Academic Leaderboard
 --WIP--
 
 """
-
 Initial_title = 'Compass Academic Leaderboard'
 
 
+
+def make_results_tab(model_info, results):
+    models_list, datasets_list = [], []
+    for i in model_info:
+        models_list.append([i['abbr'], i['display_name']])
+    for i in results.keys():
+        datasets_list.append(i)
+    
+    result_list = []
+    index = 0
+    for model in models_list:
+        this_result = {}
+        this_result['Index'] = index
+        this_result['Model Name'] = model[1]
+        index += 1        
+        for dataset in datasets_list:
+            this_result[dataset] = results[dataset][model[0]]
+        result_list.append(this_result)
+
+    df = pd.DataFrame(result_list)
+    return df 
+
+
+def show_results_tab(df):
+    with gr.Row():
+        model_name = gr.Textbox(value='Input the Model Name (fuzzy)', label='Model Name')
+    
+
 def create_interface():
     model_info, results = findfile()
 
     with gr.Blocks() as demo:
-        title_comp = gr.Markdown(Initial_title)
+        # title_comp = gr.Markdown(Initial_title)
         gr.Markdown(MAIN_LEADERBOARD_DESCRIPTION)
         with gr.Tabs(elem_classes='tab-buttons') as tabs:
             with gr.TabItem('Results', elem_id='main', id=0):
-                # math_main_tab(results)
-                pass
-            with gr.TabItem('Predictions', elem_id='notmain', id=1):
+                df = make_results_tab(model_info, results)
+                show_results_tab(df)
+
+            with gr.TabItem('Predictions', elem_id='notmain', id=0):
                 # dataset_tab(results, structs[i], dataset)
                 pass
 
     return demo
 
-
 # model_info, results = findfile()
 # breakpoint()