Update app with PandaReach-v3

app.py

@@ -190,16 +190,7 @@ def certification(hf_username):
     },
       {
           "unit": "Unit 6",
-          "env": "AntBulletEnv-v0",
-          "library": "stable-baselines3",
-          "min_result": 650,
-          "best_result": 0,
-          "best_model_id": "",
-          "passed_": False
-    },
-      {
-          "unit": "Unit 6",
-          "env": "PandaReachDense-v2",
+          "env": "PandaReachDense",
           "library": "stable-baselines3",
           "min_result": -3.5,
           "best_result": 0,
@@ -234,14 +225,20 @@ def certification(hf_username):
           "passed_": False
     },
   ] 
+    
   for unit in results_certification:
+    if unit["unit"] == "Unit 6":
+      # Since Unit 6 can use PandaReachDense-v2 or v3
+      user_models = get_user_models(hf_username, "PandaReachDense-v3", unit["library"])
+      if len(user_models) == 0:
+        print("Empty")
+        user_models = get_user_models(hf_username, "PandaReachDense-v2", unit["library"])
     if unit["unit"] != "Unit 8 PII":
       # Get user model
       user_models = get_user_models(hf_username, unit['env'], unit['library'])
     # For sample factory vizdoom we don't have env tag for now
     else: 
       user_models = get_user_sf_models(hf_username, unit['env'], unit['library'])
-        
 
     # Calculate the best result and get the best_model_id
     best_result, best_model_id = calculate_best_result(user_models)