Update app.py

app.py

@@ -259,7 +259,7 @@ def certification(hf_username, first_name, last_name):
 
   
 
-  return message, pdf, certificate, df, output_row.update(visible=True)
+  return message, pdf, certificate, df #, output_row.update(visible=True)
 
 """
 Verify that the user pass.
@@ -291,8 +291,10 @@ def verify_certification(df, hf_username, first_name, last_name):
     
     # Add a message
     message = """
-    Congratulations, you successfully completed the Hugging Face Deep Reinforcement Learning Course 🎉 \n 
-    **Since you pass 100% of the hands-on you get a Certificate of Excellence 🎓.**
+    Congratulations, you successfully completed the Hugging Face Deep Reinforcement Learning Course 🎉! \n 
+    Since you pass 100% of the hands-on you get a Certificate of Excellence 🎓. \n
+    You can download your certificate below ⬇️ \n
+    Don't hesitate to share your certificate image below on Twitter and Linkedin (you can tag me @ThomasSimonini and @huggingface) 🤗
     """
 
   elif pass_percentage < 100 and pass_percentage >= 80:
@@ -304,9 +306,11 @@ def verify_certification(df, hf_username, first_name, last_name):
 
     # Add a message
     message = """
-    Congratulations, you successfully completed the Hugging Face Deep Reinforcement Learning Course 🎉 \n 
-    **Since you pass 80% of the hands-on you get a Certificate of Completion 🎓**. You can try to get a Certificate of Excellence 
-    if you pass 100% of the hands-on, don't hesitate to check which unit you didn't pass and update these models.
+    Congratulations, you successfully completed the Hugging Face Deep Reinforcement Learning Course 🎉! \n 
+    Since you pass 80% of the hands-on you get a Certificate of Completion 🎓. \n 
+    You can download your certificate below ⬇️ \n
+    Don't hesitate to share your certificate image below on Twitter and Linkedin (you can tag me @ThomasSimonini and @huggingface) 🤗 \n
+    You can try to get a Certificate of Excellence if you pass 100% of the hands-on, don't hesitate to check which unit you didn't pass and update these models.
     """
   
   else:
@@ -316,7 +320,7 @@ def verify_certification(df, hf_username, first_name, last_name):
       
     # Add a message
     message = """
-    You **didn't pass the minimum of 80%** of the hands-on to get a certificate of completion. **But don't be discouraged**. 
+    You didn't pass the minimum of 80% of the hands-on to get a certificate of completion. But don't be discouraged! \n 
     Check below which units you need to do again to get your certificate 💪
     """
   print("return certificate")
@@ -392,12 +396,12 @@ with gr.Blocks() as demo:
     last_name = gr.Textbox(placeholder="Doe", label="Your Last Name")
     #email = gr.Textbox(placeholder="[email protected]", label="Your Email (to receive your certificate)")
     check_progress_button = gr.Button(value="Check if I pass")
-    with gr.Row(visible=False) as output_row:
-        output_text = gr.components.Textbox()
-        output_pdf = gr.File()
-        output_img = gr.components.Image(type="pil")
-        output_dataframe = gr.components.Dataframe(headers=["Pass?", "Unit", "Environment", "Baseline", "Your best result", "Your best model id"], datatype=["markdown", "markdown", "markdown", "number", "number", "markdown", "bool"]) #value= certification(hf_username, first_name, last_name), 
-    check_progress_button.click(fn=certification, inputs=[hf_username, first_name, last_name], outputs=[output_text, output_pdf, output_img, output_dataframe, output_row])#[output1, output2])
+    #with gr.Row(visible=False) as output_row:
+    output_text = gr.components.Textbox()
+    output_pdf = gr.File()
+    output_img = gr.components.Image(type="pil")
+    output_dataframe = gr.components.Dataframe(headers=["Pass?", "Unit", "Environment", "Baseline", "Your best result", "Your best model id"], datatype=["markdown", "markdown", "markdown", "number", "number", "markdown", "bool"]) #value= certification(hf_username, first_name, last_name), 
+    check_progress_button.click(fn=certification, inputs=[hf_username, first_name, last_name], outputs=[output_text, output_pdf, output_img, output_dataframe])#, output_row])#[output1, output2])
 
     
 demo.launch(debug=True)