adding hyperlinks to models

app.py

@@ -166,9 +166,15 @@ with demo:
                                      label="Model Types",
                                      elem_id="model_types",
                                      value=["pretrained","fine-tuned","chat-models","merges/moerges"])
-                    
+            
+            color = '#5750DC'
+            def make_clickable(row):
+                return f'<a href="https://huggingface.co/{row["Model"]}" target="_blank" style="color: {color}; text-decoration: underline;">{row["Model"]}</a>'
+
+            
             initial_df = pd.read_csv("./status/leaderboard_status_041624.csv")
-            initial_df["Model"] = f'<a target="_blank" href="{"https://huggingface.co/"+initial_df["Model"]}">{initial_df["Model"]}</a>' 
+            initial_df["Model"] = initial_df.apply(make_clickable, axis=1)
+            
             
             def update_df(hw_selected, platform_selected, affiliation_selected, size_selected, precision_selected, type_selected):
                 filtered_df = filter_benchmarks_table(df=initial_df, hw_selected=hw_selected, platform_selected=platform_selected, 
@@ -176,6 +182,7 @@ with demo:
                                                       precision_selected=precision_selected, type_selected=type_selected)
                 return filtered_df
             
+            
             initial_filtered_df = update_df(["Gaudi","Xeon","GPU Max","Arc GPU","Core Ultra"], 
                                 ["Intel Developer Cloud","AWS","Azure","Google Cloud Platform","Local"], 
                                 ["No Affiliation","Intel Innovator","Student Ambassador","Intel Liftoff", "Intel Engineering", "Other"], 
@@ -183,10 +190,12 @@ with demo:
                                 ["fp32","fp16","bf16","int8","fp8", "int4"], 
                                 ["pretrained","fine-tuned","chat-models","merges/moerges"])
             
+            
             gradio_df_display = gr.Dataframe(value=initial_filtered_df, headers=["Model","Average","Hardware","Model Type","Precision",
                                                                                  "Size","Infrastructure","ARC","HellaSwag","MMLU",
                                                                                  "TruthfulQA","Winogrande","Affiliation"],
-                                             datatype=["markdown","str","str","str","str","str","str","str","str","str","str","str","str"])
+                                             datatype=["html","str","str","str","str","str","str","str","str","str","str","str","str"],
+                                             interactive=False)
             
             filter_hw.change(fn=update_df, 
                              inputs=[filter_hw, filter_platform, filter_affiliation, filter_size, filter_precision, filter_type],