Upload 2 files

app.py

@@ -23,6 +23,7 @@ df = pd.DataFrame(flattened_data)
 def get_info(idx:int, df):
     name        = df.loc[idx, "name"] 
     country     = df.loc[idx, "location_country"]
+    city        = df.loc[idx, "location_city"]
     n_gpus      = df.loc[idx, "capacity_n_GPUs"]
     gpu_type    = df.loc[idx, "capacity_GPU_type"]
     addr        = df.loc[idx, "location_address"]
@@ -35,7 +36,7 @@ def get_info(idx:int, df):
             {name} - **{str(n_gpus)}x{gpu_type}**
             Overall Performance: **{capacity} petaFLOPS**
             ({last_update})
-            {addr}
+            {addr}, {city}
         """,
             # Website: {url}
         style={"white-space": "pre"}

data.json

@@ -6,7 +6,7 @@
     "city": "Diamniadio",
     "coordinates": {"lat": 14.70721512041391, "lng": -17.419260299665588},
     "region": "West",
-    "address": "Cité du Savoir, Diamniadio, Dakar"
+    "address": "Cité du Savoir"
 
   },
   "type": "National HPC",
@@ -29,9 +29,9 @@
     "city": "Ben Guerir",
     "coordinates": {"lat": 32.217507573027476, "lng": -7.938512605642216},
     "region": "North",
-    "address": "Mohammed VI Polytechnic University, Ben Guerir 43150"
+    "address": "Mohammed VI Polytechnic University, 43150"
   },
-  "type": "National HPC",
+  "type": "University HPC",
   "status": "Live",
   "capacity": {
     "GPU_type": "A100",
@@ -51,7 +51,7 @@
     "CN": "CIV",
     "coordinates": {"lat": 5.358842210111155, "lng": -3.902231013281939},
     "region": "West",
-    "address": "Pôle Scientifique et d'Innovation de Bingerville (PSI), Abidjan"
+    "address": "Pôle Scientifique et d'Innovation de Bingerville (PSI)"
 
   },
   "type": "National HPC",
@@ -111,5 +111,28 @@
     "website": "https://www.esb.tn/en"
   },
   "last_update": "2024"
+},
+{
+  "name": "Zuputo",
+  "location": {
+    "country": "Ghana",
+    "CN": "GHA",
+    "city": "Accra",
+    "coordinates": {"lat": 5.65479, "lng": 0.18954},
+    "region": "West",
+    "address": "West African Centre for Cell Biology of Infectious Pathogens (WACCBIP)"
+
+  },
+  "type": "University HPC",
+  "status": "Live",
+  "capacity": {
+    "GPU_type": "P100", 
+    "n_GPUs": 12,
+    "pflops_performance": 0.224
+  },
+  "contact_info": {
+    "website": "https://www.waccbip.org/research/scientific-technology-systems/high-performance-computing#:~:text=,the%20ROCKS%20cluster%20distribution%20software"
+  },
+  "last_update": "2018"
 }
 ]