Update app.py

app.py

@@ -175,6 +175,7 @@ def test_(hf_username):
 
     # Based on best_result do we pass the unit?
     check_if_passed(unit)
+    pass_emoji(unit["passed"])
     
   print(results_certification)
  
@@ -185,21 +186,21 @@ def test_(hf_username):
 
 with gr.Blocks() as demo:
     gr.Markdown(f"""
-    # 🏆 Check your progress in the Deep Reinforcement Learning Course 🏆 
-
-    You can check here your progress.
+    # 🏆 Check your progress in the Deep Reinforcement Learning Course 🏆
+    You can check your progress here.
     
-    - To get a certificate of completion: you need to complete 80% of the assignments **before the end of April 2023**.
-    - To get a certificate of honors: you need to complete 100% of the assignments **before the end of April 2023**.
+    - To get a certificate of completion, you must **pass 80% of the assignments before the end of April 2023**.
+    - To get an honors certificate, you must **pass 100% of the assignments before the end of April 2023**.
 
+    To pass an assignment your model result (mean_reward - std_reward) must be >= min_result
+    
     Just type your Hugging Face Username 🤗 (in my case ThomasSimonini)
-
     """)
     
     hf_username = gr.Textbox(placeholder="ThomasSimonini", label="Your Hugging Face Username")
     email = gr.Textbox(placeholder="[email protected]", label="Your Email (to receive your certificate)")
     check_progress_button = gr.Button(value="Check my progress")
-    output = gr.components.Dataframe(value= test_(hf_username), headers=["Unit", "Environment", "Library", "Baseline", "Your best result", "Your best model id", "Pass?"], datatype=["markdown", "markdown", "markdown", "number", "number", "markdown", "bool"])
+    output = gr.components.Dataframe(value= test_(hf_username), headers=["Unit", "Environment", "Library", "Baseline", "Your best result", "Your best model id", "Pass?"], datatype=["markdown", "markdown", "markdown", "number", "number", "markdown", "markdown"])
     check_progress_button.click(fn=test_, inputs=hf_username, outputs=output)
 
 demo.launch()