docs: success message format
#5
by
wseo
- opened
app.py
CHANGED
@@ -5,7 +5,7 @@ from gradio_client import Client
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from PIL import Image, ImageDraw, ImageFont
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from datetime import date
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-
import time
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import os
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import sys
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@@ -31,9 +31,9 @@ def has_contributions(repo_type, hf_username, organization):
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:param organization: HF Hub organization
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"""
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repo_list = {
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-
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-
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}
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for repo in repo_list[repo_type](author=organization):
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@@ -49,9 +49,9 @@ def get_hub_footprint(hf_username, organization):
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:param hf_username: HF Hub username
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:param organization: HF Hub organization
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"""
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-
has_models = has_contributions(
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has_datasets = has_contributions(
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has_spaces = has_contributions(
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return (has_models, has_datasets, has_spaces)
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@@ -61,17 +61,17 @@ def check_if_passed(hf_username):
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Check if given user contributed to hackathon
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:param hf_username: HF Hub username
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"""
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-
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-
passed = False
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certificate_type = ""
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# If the user contributed to models, datasets and spaces then assign excellence
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if all(get_hub_footprint(hf_username, ORGANIZATION)):
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-
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-
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elif any(get_hub_footprint(hf_username, ORGANIZATION)):
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-
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-
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return passed, certificate_type
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@@ -90,25 +90,25 @@ def generate_certificate(certificate_template, first_name, last_name, hf_usernam
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name_font = ImageFont.truetype("HeiseiMinchoStdW7.otf", 60)
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username_font = ImageFont.truetype("HeiseiMinchoStdW7.otf", 18)
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-
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name = str(first_name) + " " + str(last_name)
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print("NAME", name)
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-
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# Debug line name
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#d.line(((0, 419), (1000, 419)), "gray")
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#d.line(((538, 0), (538, 1400)), "gray")
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-
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# Name
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d.text((538, 419), name, fill=(87,87,87), anchor="mm", font=name_font)
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# Debug line id
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#d.line(((815, 0), (815, 1400)), "gray")
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# Date of certification
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d.text((815, 327), f"HKH23-{hf_username}", fill=(117,117,117), font=username_font)
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pdf = im.convert(
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pdf.save(
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return im, "./certificate.pdf"
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@@ -116,7 +116,14 @@ def generate_certificate(certificate_template, first_name, last_name, hf_usernam
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def create_initial_csv(path):
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"""Create an initial CSV file with headers if it doesn't exist."""
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# Define the headers for our CSV file
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headers = [
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# Create a new DataFrame with no data and these headers
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df = pd.DataFrame(columns=headers)
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# Save the DataFrame to a CSV file
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@@ -128,7 +135,12 @@ def add_certified_user(hf_username, first_name, last_name, certificate_type):
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Add the certified user to the dataset and include their certificate PDF.
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"""
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print("ADD CERTIFIED USER")
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repo = Repository(
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repo.git_pull()
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csv_full_path = os.path.join("data", CERTIFIED_USERS_FILENAME)
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@@ -139,7 +151,7 @@ def add_certified_user(hf_username, first_name, last_name, certificate_type):
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history = pd.read_csv(csv_full_path)
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# Check if this hf_username is already in our dataset:
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check = history.loc[history[
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if not check.empty:
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history = history.drop(labels=check.index[0], axis=0)
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@@ -148,24 +160,29 @@ def add_certified_user(hf_username, first_name, last_name, certificate_type):
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# Copy the PDF from its current location to the target directory in the repository
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pdf_repo_filename = f"{hf_username}.pdf" # Create a specific name for the PDF file
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pdf_repo_path_full = os.path.join(pdfs_repo_path, pdf_repo_filename)
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-
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# Create the pdfs directory if it doesn't exist
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os.makedirs(pdfs_repo_path, exist_ok=True)
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-
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shutil.copy(
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# Now, add a new entry to your CSV for this user and their PDF
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new_row = pd.DataFrame(
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-
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history = pd.concat([new_row, history[:]]).reset_index(drop=True)
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-
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# Save the updated CSV
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history.to_csv(os.path.join("data", CERTIFIED_USERS_FILENAME), index=False)
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@@ -174,9 +191,9 @@ def add_certified_user(hf_username, first_name, last_name, certificate_type):
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repo.push_to_hub(commit_message="Update certified users list and add PDF")
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def create_certificate(passed, certificate_type, hf_username, first_name, last_name):
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"""
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-
Generates certificate, adds message, saves username of the certified user
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:param passed: boolean whether the user passed enough assignments
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:param certificate_type: type of the certificate - completion or excellence
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:param hf_username: Hugging Face Hub username entered by user
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@@ -185,36 +202,41 @@ def create_certificate(passed, certificate_type, hf_username, first_name, last_n
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"""
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if passed and certificate_type == "excellence":
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# Generate a certificate of
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certificate, pdf = generate_certificate(
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# Add this user to our database
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add_certified_user(hf_username, first_name, last_name, certificate_type)
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# Add a message
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message = f"""
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Congratulations, you successfully completed the 2023 Hackathon π!
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Since you contributed to models, datasets, and spaces- you get a Certificate of Excellence π.
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You can download your certificate below β¬οΈ
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"""
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elif passed and certificate_type == "completion":
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# Generate a certificate of completion
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certificate, pdf = generate_certificate(
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# Add this user to our database
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add_certified_user(hf_username, first_name, last_name, certificate_type)
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# Add a message
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message = f"""
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Congratulations, you successfully completed the 2023 Hackathon π!
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Since you contributed to at least one model, dataset, or space- you get a Certificate of Completion π.
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You can download your certificate below β¬οΈ
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-
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You can try to get a Certificate of Excellence if you contribute to all types of repos, please don't hesitate to do so.
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https://huggingface.co/datasets/pseudolab/huggingface-krew-hackathon2023/resolve/main/pdfs/{hf_username}.pdf
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"""
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else:
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# Not passed yet
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certificate = Image.new("RGB", (100, 100), (255, 255, 255))
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pdf = "./fail.pdf"
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# Add a message
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message = """
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You didn't pass the minimum of one contribution to get a certificate of completion.
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@@ -225,19 +247,23 @@ def create_certificate(passed, certificate_type, hf_username, first_name, last_n
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def certification(hf_username, first_name, last_name):
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-
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-
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if passed:
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visible = True
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else:
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visible = False
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return message, pdf, certificate, output_row.update(visible=visible)
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with gr.Blocks() as demo:
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gr.Markdown(
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# Get your 2023 Hackathon Certificate π
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The certification process is completely free:
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- To get a *certificate of completion*: you need to **contribute to at least one model, dataset, or space**.
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@@ -246,9 +272,12 @@ with gr.Blocks() as demo:
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For more information about the certification process [check the hackathon page on certification](https://pseudo-lab.github.io/huggingface-hackathon23/submit.html#certification).
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Don't hesitate to share your certificate on Twitter (tag me [@wonhseo](https://twitter.com/wonhseo), [@pseudolab](https://twitter.com/pseudo-lab), and [@huggingface](https://twitter.com/huggingface)) and on LinkedIn.
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"""
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-
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first_name = gr.Textbox(placeholder="Wonhyeong", label="Your First Name")
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last_name = gr.Textbox(placeholder="Seo", label="Your Last Name")
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@@ -259,7 +288,11 @@ with gr.Blocks() as demo:
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output_pdf = gr.File()
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output_img = gr.components.Image(type="pil")
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check_progress_button.click(
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-
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demo.launch(debug=True)
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from PIL import Image, ImageDraw, ImageFont
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from datetime import date
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+
import time
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import os
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import sys
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:param organization: HF Hub organization
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"""
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repo_list = {
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"model": api.list_models,
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"dataset": api.list_datasets,
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"space": api.list_spaces,
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}
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for repo in repo_list[repo_type](author=organization):
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:param hf_username: HF Hub username
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:param organization: HF Hub organization
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"""
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+
has_models = has_contributions("model", hf_username, organization)
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has_datasets = has_contributions("dataset", hf_username, organization)
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has_spaces = has_contributions("space", hf_username, organization)
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return (has_models, has_datasets, has_spaces)
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Check if given user contributed to hackathon
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:param hf_username: HF Hub username
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"""
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+
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passed = False
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certificate_type = ""
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# If the user contributed to models, datasets and spaces then assign excellence
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if all(get_hub_footprint(hf_username, ORGANIZATION)):
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passed = True
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certificate_type = "excellence"
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elif any(get_hub_footprint(hf_username, ORGANIZATION)):
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passed = True
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certificate_type = "completion"
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return passed, certificate_type
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name_font = ImageFont.truetype("HeiseiMinchoStdW7.otf", 60)
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username_font = ImageFont.truetype("HeiseiMinchoStdW7.otf", 18)
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name = str(first_name) + " " + str(last_name)
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print("NAME", name)
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# Debug line name
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# d.line(((0, 419), (1000, 419)), "gray")
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# d.line(((538, 0), (538, 1400)), "gray")
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# Name
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d.text((538, 419), name, fill=(87, 87, 87), anchor="mm", font=name_font)
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# Debug line id
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# d.line(((815, 0), (815, 1400)), "gray")
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# Date of certification
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d.text((815, 327), f"HKH23-{hf_username}", fill=(117, 117, 117), font=username_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 create_initial_csv(path):
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"""Create an initial CSV file with headers if it doesn't exist."""
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# Define the headers for our CSV file
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headers = [
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"hf_username",
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"first_name",
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"last_name",
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"certificate_type",
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"datetime",
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"pdf_path",
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]
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# Create a new DataFrame with no data and these headers
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df = pd.DataFrame(columns=headers)
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# Save the DataFrame to a CSV file
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Add the certified user to the dataset and include their certificate PDF.
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"""
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print("ADD CERTIFIED USER")
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repo = Repository(
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local_dir="data",
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clone_from=DATASET_REPO_URL,
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git_user="wseo",
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git_email="wonhseo.v@gmail.com",
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)
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repo.git_pull()
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csv_full_path = os.path.join("data", CERTIFIED_USERS_FILENAME)
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history = pd.read_csv(csv_full_path)
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# Check if this hf_username is already in our dataset:
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check = history.loc[history["hf_username"] == hf_username]
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if not check.empty:
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history = history.drop(labels=check.index[0], axis=0)
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# Copy the PDF from its current location to the target directory in the repository
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pdf_repo_filename = f"{hf_username}.pdf" # Create a specific name for the PDF file
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pdf_repo_path_full = os.path.join(pdfs_repo_path, pdf_repo_filename)
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# Create the pdfs directory if it doesn't exist
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os.makedirs(pdfs_repo_path, exist_ok=True)
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shutil.copy("./certificate.pdf", pdf_repo_path_full) # Copy the file
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# Now, add a new entry to your CSV for this user and their PDF
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new_row = pd.DataFrame(
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{
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"hf_username": hf_username,
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"first_name": first_name,
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"last_name": last_name,
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"certificate_type": certificate_type,
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"datetime": time.time(), # This captures the current time
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"pdf_path": pdf_repo_path_full[
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5:
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], # This is the relative path to the PDF within the repo
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},
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index=[0],
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)
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history = pd.concat([new_row, history[:]]).reset_index(drop=True)
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# Save the updated CSV
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history.to_csv(os.path.join("data", CERTIFIED_USERS_FILENAME), index=False)
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repo.push_to_hub(commit_message="Update certified users list and add PDF")
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+
def create_certificate(passed, certificate_type, hf_username, first_name, last_name):
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"""
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+
Generates certificate, adds message, saves username of the certified user
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:param passed: boolean whether the user passed enough assignments
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:param certificate_type: type of the certificate - completion or excellence
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:param hf_username: Hugging Face Hub username entered by user
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"""
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if passed and certificate_type == "excellence":
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# Generate a certificate of
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certificate, pdf = generate_certificate(
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"./certificate-excellence.png", first_name, last_name, hf_username
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)
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# Add this user to our database
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add_certified_user(hf_username, first_name, last_name, certificate_type)
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# Add a message
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message = f"""
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+
Congratulations, you successfully completed the 2023 Hackathon π!
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+
Since you contributed to models, datasets, and spaces- you get a Certificate of Excellence π.
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215 |
+
You can download your certificate below β¬οΈ
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+
https://huggingface.co/datasets/pseudolab/huggingface-krew-hackathon2023/resolve/main/pdfs/{hf_username}.pdf\n
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Don't hesitate to share your certificate link above on Twitter and Linkedin (you can tag me @wonhseo, @pseudolab and @huggingface) π€
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+
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"""
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elif passed and certificate_type == "completion":
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# Generate a certificate of completion
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certificate, pdf = generate_certificate(
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"./certificate-completion.png", first_name, last_name, hf_username
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)
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# Add this user to our database
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add_certified_user(hf_username, first_name, last_name, certificate_type)
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# Add a message
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message = f"""
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+
Congratulations, you successfully completed the 2023 Hackathon π!
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230 |
+
Since you contributed to at least one model, dataset, or space- you get a Certificate of Completion π.
|
231 |
+
You can download your certificate below β¬οΈ
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+
https://huggingface.co/datasets/pseudolab/huggingface-krew-hackathon2023/resolve/main/pdfs/{hf_username}.pdf\n
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+
Don't hesitate to share your certificate link above on Twitter and Linkedin (you can tag me @wonhseo, @pseudolab and @huggingface) π€ \n
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You can try to get a Certificate of Excellence if you contribute to all types of repos, please don't hesitate to do so.
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"""
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else:
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# Not passed yet
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certificate = Image.new("RGB", (100, 100), (255, 255, 255))
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pdf = "./fail.pdf"
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# Add a message
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message = """
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You didn't pass the minimum of one contribution to get a certificate of completion.
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def certification(hf_username, first_name, last_name):
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passed, certificate_type = check_if_passed(hf_username)
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certificate, message, pdf = create_certificate(
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passed, certificate_type, hf_username, first_name, last_name
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)
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print("MESSAGE", message)
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if passed:
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visible = True
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else:
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visible = False
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return message, pdf, certificate, output_row.update(visible=visible)
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with gr.Blocks() as demo:
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gr.Markdown(
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f"""
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# Get your 2023 Hackathon Certificate π
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The certification process is completely free:
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- To get a *certificate of completion*: you need to **contribute to at least one model, dataset, or space**.
|
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272 |
For more information about the certification process [check the hackathon page on certification](https://pseudo-lab.github.io/huggingface-hackathon23/submit.html#certification).
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|
274 |
Don't hesitate to share your certificate on Twitter (tag me [@wonhseo](https://twitter.com/wonhseo), [@pseudolab](https://twitter.com/pseudo-lab), and [@huggingface](https://twitter.com/huggingface)) and on LinkedIn.
|
275 |
+
"""
|
276 |
+
)
|
277 |
+
|
278 |
+
hf_username = gr.Textbox(
|
279 |
+
placeholder="wseo", label="Your Hugging Face Username (case sensitive)"
|
280 |
+
)
|
281 |
first_name = gr.Textbox(placeholder="Wonhyeong", label="Your First Name")
|
282 |
last_name = gr.Textbox(placeholder="Seo", label="Your Last Name")
|
283 |
|
|
|
288 |
output_pdf = gr.File()
|
289 |
output_img = gr.components.Image(type="pil")
|
290 |
|
291 |
+
check_progress_button.click(
|
292 |
+
fn=certification,
|
293 |
+
inputs=[hf_username, first_name, last_name],
|
294 |
+
outputs=[output_text, output_pdf, output_img, output_row],
|
295 |
+
)
|
296 |
|
297 |
+
|
298 |
+
demo.launch(debug=True)
|