app.py

import gradio as gr
from huggingface_hub import HfApi, hf_hub_download, Repository
from huggingface_hub.repocard import metadata_load
from gradio_client import Client
from PIL import Image, ImageDraw, ImageFont

from datetime import date
import time  

import os
import pandas as pd
import json

api = HfApi()
HF_TOKEN = os.environ.get("HF_TOKEN")

# Private dataset repo containing the list of already certified users
DATASET_REPO_URL = "https://huggingface.co/datasets/MariaK/audio-course"
CERTIFIED_USERS_FILENAME = "usernames.csv"

# Private space to check if a user has passed. 
SPACE_ID = "MariaK/Check-Audio-Course-Progress"


def check_if_passed(username):
    """
    Check if given user passed enough assignments
    :param username: User HF username
    """
    
  passed = False  
  certificate_type = ""

  client = Client(SPACE_ID, hf_token=HF_TOKEN)
  result = client.predict(username, fn_index=0)
  with open(result) as json_data:
    data = json.load(json_data)

  df = pd.DataFrame(data['data'])
  if len(df[df.iloc[:,0] == '✅']) == 4:
    passed = True
    certificate_type = "excellence"
  elif len(df[df.iloc[:,0] == '✅']) == 3:
    passed = True
    certificate_type = "completion"

  return passed, certificate_type


def generate_certificate(certificate_template, first_name, last_name):
    """
    Generates certificate from the template
    :param certificate_template: type of the certificate to generate
    :param first_name: first name entered by user
    :param last_name: last name entered by user
    """

    im = Image.open(certificate_template)
    d = ImageDraw.Draw(im)

    name_font = ImageFont.truetype("Quattrocento-Regular.ttf", 100)
    date_font = ImageFont.truetype("Quattrocento-Regular.ttf", 48)
    
    name = str(first_name) + " " + str(last_name)
    print("NAME", name)
    
    # Debug line name
    #d.line(((200, 740), (1800, 740)), "gray")
    #d.line(((1000, 0), (1000, 1400)), "gray")
    
    # Name
    d.text((1000, 740), name, fill="black", anchor="mm", font=name_font)

    # Debug line date
    #d.line(((1500, 0), (1500, 1400)), "gray")

    # Date of certification
    d.text((1480, 1170), str(date.today()), fill="black", anchor="mm", font=date_font)


    pdf = im.convert('RGB')
    pdf.save('certificate.pdf')

    return im, "./certificate.pdf"


def add_certified_user(hf_username, first_name, last_name, certificate_type):
  """
  Add the certified user to the database
  """
    
  print("ADD CERTIFIED USER")
  repo = Repository(local_dir="usernames", clone_from=DATASET_REPO_URL, use_auth_token=HF_TOKEN)
  repo.git_pull()

  history = pd.read_csv(os.path.join("usernames", CERTIFIED_USERS_FILENAME))

  # Check if this hf_username is already in our dataset:
  check = history.loc[history['hf_username'] == hf_username]
  if not check.empty:
    history = history.drop(labels=check.index[0], axis=0)
  
  new_row = pd.DataFrame({'hf_username': hf_username, 'first_name': first_name, 'last_name': last_name, 'certificate_type': certificate_type, 'datetime': time.time()}, index=[0])
  history = pd.concat([new_row, history[:]]).reset_index(drop=True)
    
  history.to_csv(os.path.join("usernames", CERTIFIED_USERS_FILENAME), index=False)
  repo.push_to_hub(commit_message="Update certified users list")


def create_certificate(passed, certificate_type, hf_username, first_name, last_name):  
    """
    Generates certificate, adds message, saves username of the certified user 
    :param passed: boolean whether the user passed enough assignments
    :param certificate_type: type of the certificate - completion or excellence
    :param first_name: first name entered by user
    :param last_name: last name entered by user
    """

  if passed and certificate_type == "excellence":
    # Generate a certificate of excellence
    certificate, pdf = generate_certificate("./certificate-excellence.png", first_name, last_name)
    # Add this user to our database
    add_certified_user(hf_username, first_name, last_name, certificate_type)    
    # Add a message
    message = """
    Congratulations, you successfully completed the Hugging Face Audio 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 @mariakhalusova and @huggingface) 🤗
    """
  elif passed and certificate_type == "completion":
    
    # Generate a certificate of completion
    certificate, pdf = generate_certificate("./certificate-completion.png", first_name, last_name)
    # Add this user to our database
    add_certified_user(hf_username, first_name, last_name, certificate_type)    
    # 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 🎓. \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 @mariakhalusova 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:
    # Not passed yet
    certificate = Image.new("RGB", (100, 100), (255, 255, 255))
    pdf = "./fail.pdf"
        
    # Add a message
    message = """
      You didn't pass the minimum of 3 out of 4 of the hands-on to get a certificate of completion. 
      For more information about the certification process [check the course page on certification](https://huggingface.co/learn/audio-course/chapter8/certification).
      Use the [self-evaluation space](https://huggingface.co/spaces/MariaK/Check-my-progress-Audio-Course) to see which assignments have not been completed. 
      """
  return certificate, message, pdf


def certification(hf_username, first_name, last_name):
  passed, certificate_type = check_if_passed(hf_username)
  certificate, message, pdf = create_certificate(passed, certificate_type, hf_username, first_name, last_name)
  print("MESSAGE", message)

  if passed:
    visible = True
  else:
    visible = False
  
  return message, pdf, certificate, output_row.update(visible=visible) 

with gr.Blocks() as demo:
    gr.Markdown(f"""
    # Get your Hugging Face Audio Course Certificate 🎓
    The certification process is completely free:
    - To get a *certificate of completion*: you need to **pass 3 out of 4 hands-on assignments**.
    - To get a *certificate of excellence*: you need to **pass 4 out of 4 hands-on assignments**.
    For more information about the certification process [check the course page on certification](https://huggingface.co/learn/audio-course/chapter8/certification).
    Don't hesitate to share your certificate on Twitter (tag me @mariakhalusova and @huggingface) and on LinkedIn.
    """)
    
    hf_username = gr.Textbox(placeholder="MariaK", label="Your Hugging Face Username (case sensitive)")
    first_name = gr.Textbox(placeholder="Jane", label="Your First Name")
    last_name = gr.Textbox(placeholder="Doe", label="Your Last Name")

    check_progress_button = gr.Button(value="Check if I pass and get the certificate")
    output_text = gr.components.Textbox()

    with gr.Row(visible=True) as output_row:
        output_pdf = gr.File()
        output_img = gr.components.Image(type="pil")

    check_progress_button.click(fn=certification, inputs=[hf_username, first_name, last_name], outputs=[output_text, output_pdf, output_img, output_row])

    
demo.launch(debug=True)