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import gradio as gr |
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from datasets import load_dataset, Dataset |
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from datetime import datetime |
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from datetime import date |
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import io |
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import os |
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from PIL import Image, ImageDraw, ImageFont |
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from huggingface_hub import login |
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login(token=os.environ["HUGGINGFACE_TOKEN"]) |
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SCORES_DATASET = "agents-course/unit4-students-scores" |
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CERTIFICATES_DATASET = "agents-course/course-certificates-of-excellence" |
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THRESHOLD_SCORE = 30 |
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def check_user_score(username): |
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score_data = load_dataset(SCORES_DATASET, split="train", download_mode="force_redownload") |
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matches = [row for row in score_data if row["username"] == username] |
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return matches[0] if matches else None |
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def has_certificate_entry(username): |
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cert_data = load_dataset(CERTIFICATES_DATASET, split="train", download_mode="force_redownload") |
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print(username) |
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return any(row["username"] == username for row in cert_data) |
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def add_certificate_entry(username, name, score): |
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ds = load_dataset(CERTIFICATES_DATASET, split="train", download_mode="force_redownload") |
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filtered_rows = [row for row in ds if row["username"] != username] |
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new_entry = { |
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"username": username, |
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"score": score, |
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"timestamp": datetime.now().isoformat() |
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} |
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filtered_rows.append(new_entry) |
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updated_ds = Dataset.from_list(filtered_rows) |
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updated_ds.push_to_hub(CERTIFICATES_DATASET) |
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def generate_certificate(name, score): |
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"""Generate certificate image and PDF.""" |
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certificate_path = os.path.join( |
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os.path.dirname(__file__), "templates", "certificate.png" |
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) |
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im = Image.open(certificate_path) |
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d = ImageDraw.Draw(im) |
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name_font = ImageFont.truetype("Quattrocento-Regular.ttf", 100) |
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date_font = ImageFont.truetype("Quattrocento-Regular.ttf", 48) |
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name = name.title() |
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d.text((1000, 740), name, fill="black", anchor="mm", font=name_font) |
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d.text((1480, 1170), str(date.today()), fill="black", anchor="mm", font=date_font) |
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pdf = im.convert("RGB") |
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pdf.save("certificate.pdf") |
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return im, "certificate.pdf" |
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def handle_certificate(name, profile: gr.OAuthProfile): |
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if profile is None: |
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return "You must be logged in with your Hugging Face account.", None |
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username = profile.username |
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user_score = check_user_score(username) |
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if not user_score: |
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return "You need to complete Unit 4 first.", None, None |
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score = user_score["score"] |
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if score < THRESHOLD_SCORE: |
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return f"Your score is {score}. You need at least {THRESHOLD_SCORE} to pass.", None, None |
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certificate_image, certificate_pdf = generate_certificate(name, score) |
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add_certificate_entry(username, name, score) |
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return "Congratulations! Here's your certificate:", certificate_image, certificate_pdf |
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with gr.Blocks() as demo: |
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gr.Markdown("# π Agents Course - Get Your Final Certificate") |
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gr.Markdown("Welcome! Follow the steps below to receive your official certificate:") |
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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!") |
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with gr.Group(): |
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gr.Markdown("## β
How it works") |
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gr.Markdown(""" |
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1. **Sign in** with your Hugging Face account using the button below. |
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2. **Enter your full name** (this will appear on the certificate). |
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3. Click **'Get My Certificate'** to check your score and download your certificate. |
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""") |
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gr.Markdown("---") |
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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.") |
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gr.LoginButton() |
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with gr.Row(): |
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name_input = gr.Text(label="Enter your name (this will appear on the certificate)") |
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generate_btn = gr.Button("Get my certificate") |
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output_text = gr.Textbox(label="Result") |
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cert_image = gr.Image(label="Your Certificate") |
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cert_file = gr.File(label="Download Certificate (PDF)", file_types=[".pdf"]) |
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generate_btn.click( |
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fn=handle_certificate, |
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inputs=[name_input], |
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outputs=[output_text, cert_image, cert_file] |
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) |
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demo.launch() |
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