Update app.py

app.py

@@ -7,6 +7,13 @@ import gradio as gr
 data = pd.read_csv("data.csv", dtype="str")
 webhook_url = os.environ.get("WEBHOOK_URL")
 
+archlinks = {
+    "Mamba": "https://arxiv.org/abs/2312.00752",
+    "RWKV-4": "https://arxiv.org/abs/2305.13048",
+    "RWKV-5": "https://x.com/BlinkDL_AI/status/1685230712247795713", # paper soon:tm:
+    "StripedHyena": "https://www.together.ai/blog/stripedhyena-7b" # this is very confusing
+}
+
 def filter_table(cols, name, type, arch, license):
     tmp = data
     # filter
@@ -14,14 +21,16 @@ def filter_table(cols, name, type, arch, license):
     tmp = tmp[tmp["Type"].isin(type)]
     tmp = tmp[tmp["Architecture"].isin(arch)]
     tmp = tmp[tmp["License"].isin(license)]
-    # show/hide
-    tmp = tmp.drop(cols, axis=1)
     # prettify
     tmp["Type"] = tmp["Type"].apply(lambda x: x[0])
     tmp = tmp.rename({"Type": "T"}, axis=1)
     tmp["Name"] = tmp["Name"].apply(lambda x: f'<a target="_blank" href="https://huggingface.co/{x}" style="color:var(--link-text-color);text-decoration:underline;text-decoration-style:dotted">{x}</a>')
-    #tmp["Base Model"] = tmp["Base Model"].apply(lambda x: f'<a target="_blank" href="https://huggingface.co/{x}" style="color:var(--link-text-color);text-decoration:underline;text-decoration-style:dotted">{x}</a>' if x != "base" else x)
-    
+    tmp["Architecture"] = tmp["Architecture"].apply(lambda x: f'<a target="_blank" href="{archlinks[x]}" style="color:var(--link-text-color);text-decoration:underline;text-decoration-style:dotted">{x}</a>')
+    tmp["License"] = tmp["License"].apply(lambda x: f'<a target="_blank" href="https://choosealicense.com/licenses/{x}" style="color:var(--link-text-color);text-decoration:underline;text-decoration-style:dotted">{x}</a>')
+    tmp["Base Model"] = tmp["Base Model"].apply(lambda x: f'<a target="_blank" href="https://huggingface.co/{x}" style="color:var(--link-text-color);text-decoration:underline;text-decoration-style:dotted">{x}</a>' if x != "base" else x)
+    # show/hide
+    tmp = tmp.drop(cols, axis=1)
+    # done!
     return tmp
 
 def submit_model(name):