Update app.py

app.py

@@ -106,7 +106,7 @@ def check_if_passed(model):
 def test_(hf_username):
   results_certification = [
       {
-          "unit": "Unit 1: Introduction to Deep Reinforcement Learning",
+          "unit": "<a href="https://huggingface.co/deep-rl-course/unit1/introduction">Unit 1</a>",
           "env": "LunarLander-v2",
           "library": "stable-baselines3",
           "min_result": 200,
@@ -115,7 +115,7 @@ def test_(hf_username):
           "passed": False
       },
     {
-          "unit": "Bonus Unit 1: Introduction to Deep RL with Huggy",
+          "unit": "Bonus Unit 1",
           "env": "ML-Agents-Huggy",
           "library": "ml-agents",
           "min_result": -100,
@@ -124,7 +124,7 @@ def test_(hf_username):
           "passed": False
     },
   {
-          "unit": "Introduction to Q-Learning",
+          "unit": "Unit 2",
           "env": "Taxi-v3",
           "library": "q-learning",
           "min_result": 5,
@@ -133,7 +133,7 @@ def test_(hf_username):
           "passed": False
   },
   {
-          "unit": "Introduction to Deep Q-Learning",
+          "unit": "Unit 3",
           "env": "SpaceInvadersNoFrameskip-v4",
           "library": "stable-baselines3",
           "min_result": 200,
@@ -142,7 +142,7 @@ def test_(hf_username):
           "passed": False
   },
   {
-          "unit": "Unit 4: Policy Gradient with PyTorch, 1/2",
+          "unit": "Unit 4",
           "env": "CartPole-v1",
           "library": "reinforce",
           "min_result": 350,
@@ -151,7 +151,7 @@ def test_(hf_username):
           "passed": False
   },
     {
-          "unit": "Unit 4: Policy Gradient with PyTorch, 2/2",
+          "unit": "Unit 4",
           "env": "Pixelcopter-PLE-v0",
           "library": "reinforce",
           "min_result": 5,