| import gradio as gr |
| from datasets import load_dataset, Dataset |
| from datetime import datetime |
| from datetime import date |
| import io |
| import os |
| from PIL import Image, ImageDraw, ImageFont |
| from huggingface_hub import login |
|
|
| login(token=os.environ["HUGGINGFACE_TOKEN"]) |
|
|
| |
| SCORES_DATASET = "agents-course/unit4-students-scores" |
| CERTIFICATES_DATASET = "agents-course/course-certificates-of-excellence" |
| THRESHOLD_SCORE = 30 |
|
|
| |
| def check_user_score(username): |
| score_data = load_dataset(SCORES_DATASET, split="train", download_mode="force_redownload") |
| matches = [row for row in score_data if row["username"] == username] |
| return matches[0] if matches else None |
|
|
| |
| def has_certificate_entry(username): |
| cert_data = load_dataset(CERTIFICATES_DATASET, split="train", download_mode="force_redownload") |
| print(username) |
| return any(row["username"] == username for row in cert_data) |
|
|
| |
| def add_certificate_entry(username, name, score): |
| |
| ds = load_dataset(CERTIFICATES_DATASET, split="train", download_mode="force_redownload") |
| |
| |
| filtered_rows = [row for row in ds if row["username"] != username] |
|
|
| |
| new_entry = { |
| "username": username, |
| "score": score, |
| "timestamp": datetime.now().isoformat() |
| } |
| filtered_rows.append(new_entry) |
|
|
| |
| updated_ds = Dataset.from_list(filtered_rows) |
| updated_ds.push_to_hub(CERTIFICATES_DATASET) |
|
|
| |
| def generate_certificate(name, score): |
| """Generate certificate image and PDF.""" |
| certificate_path = os.path.join( |
| os.path.dirname(__file__), "templates", "certificate.png" |
| ) |
| im = Image.open(certificate_path) |
| d = ImageDraw.Draw(im) |
|
|
| name_font = ImageFont.truetype("Quattrocento-Regular.ttf", 100) |
| date_font = ImageFont.truetype("Quattrocento-Regular.ttf", 48) |
|
|
| name = name.title() |
| d.text((1000, 740), name, fill="black", anchor="mm", font=name_font) |
|
|
| 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 handle_certificate(name, profile: gr.OAuthProfile): |
| if profile is None: |
| return "You must be logged in with your Hugging Face account.", None |
|
|
| username = profile.username |
| user_score = check_user_score(username) |
|
|
| if not user_score: |
| return "You need to complete Unit 4 first.", None, None |
|
|
| score = user_score["score"] |
|
|
| if score < THRESHOLD_SCORE: |
| return f"Your score is {score}. You need at least {THRESHOLD_SCORE} to pass.", None, None |
|
|
| certificate_image, certificate_pdf = generate_certificate(name, score) |
| add_certificate_entry(username, name, score) |
| return "Congratulations! Here's your certificate:", certificate_image, certificate_pdf |
|
|
| |
| with gr.Blocks() as demo: |
| gr.Markdown("# π Agents Course - Get Your Final Certificate") |
| gr.Markdown("Welcome! Follow the steps below to receive your official certificate:") |
| gr.Markdown("β οΈ **Note**: Due to high demand, you might experience occasional bugs. If something doesn't work, please try again after a moment!") |
| |
| with gr.Group(): |
| gr.Markdown("## β
How it works") |
| gr.Markdown(""" |
| 1. **Sign in** with your Hugging Face account using the button below. |
| 2. **Enter your full name** (this will appear on the certificate). |
| 3. Click **'Get My Certificate'** to check your score and download your certificate. |
| """) |
| gr.Markdown("---") |
| gr.Markdown("π **Note**: You must have completed [Unit 4](https://huggingface.co/learn/agents-course/unit4/introduction) and your Agent must have scored **above 30** to get your certificate.") |
|
|
| gr.LoginButton() |
| with gr.Row(): |
| name_input = gr.Text(label="Enter your name (this will appear on the certificate)") |
| generate_btn = gr.Button("Get my certificate") |
| output_text = gr.Textbox(label="Result") |
| cert_image = gr.Image(label="Your Certificate") |
| cert_file = gr.File(label="Download Certificate (PDF)", file_types=[".pdf"]) |
|
|
| generate_btn.click( |
| fn=handle_certificate, |
| inputs=[name_input], |
| outputs=[output_text, cert_image, cert_file] |
| ) |
|
|
| demo.launch() |
|
|