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import gradio as gr
import json
import pandas as pd
import os
import shutil
import datetime
DATA_FILE = os.path.join("data", "teamup_data.json")
ADMIN_CODE = os.getenv("ADMIN_CODE", "")
# Ensure data file exists
os.makedirs("data", exist_ok=True)
if not os.path.exists(DATA_FILE) or os.path.getsize(DATA_FILE) == 0:
with open(DATA_FILE, "w") as f:
json.dump([], f)
# Function to create a backup
def backup_data():
source_file = DATA_FILE
backup_dir = './data/backup'
os.makedirs(backup_dir, exist_ok=True)
timestamp = datetime.datetime.now().strftime('%Y%m%d_%H%M%S')
backup_file = os.path.join(backup_dir, f'teamup_data_backup_{timestamp}.json')
shutil.copy(source_file, backup_file)
print(f"β
Backup created at {backup_file}")
# Profile submission logic
def submit_profile(name, discord, city, country, address, looking, onlinecheck, languages, laptop, robot, skills, describe3, experience, idea):
print("π’ Submit button clicked.")
if not discord or not city or not country or not laptop or not robot:
return "β Please fill in all required fields."
if not languages or not isinstance(languages, list) or len(languages) == 0:
return "β Please select at least one language."
# Ensure country is stored as a string
if isinstance(country, list):
country = country[0] if country else ""
with open(DATA_FILE, "r") as f:
data = json.load(f)
for d in data:
if d["Discord"].lower() == discord.lower():
d.update({
"Name": name,
"City": city,
"Country": country,
"Address": address,
"Looking for Team": looking,
"Onlinecheck": onlinecheck,
"Languages": languages,
"Laptop": laptop,
"Robot": robot,
"Skills": skills,
"Describe3": describe3,
"Experience": experience,
"Project Idea": idea
})
break
else:
data.append({
"Name": name,
"Discord": discord,
"City": city,
"Country": country,
"Address": address,
"Looking for Team": looking,
"Onlinecheck": onlinecheck,
"Languages": languages,
"Laptop": laptop,
"Robot": robot,
"Skills": skills,
"Describe3": describe3,
"Experience": experience,
"Project Idea": idea
})
try:
with open(DATA_FILE, "w") as f:
json.dump(data, f, indent=2)
print(f"β
Successfully wrote {len(data)} profiles to {DATA_FILE}")
backup_data() # Backup after every update
except Exception as e:
print(f"β Failed to write to {DATA_FILE}: {e}")
return "β Error saving your profile. Please try again."
return "β
Profile saved!"
# Dropdown population functions
def update_country_choices():
country_choices = [
"United States", "Canada", "United Kingdom", "India", "Germany", "France",
"Australia", "Brazil", "Mexico", "Spain", "Italy", "China", "Russia", "Japan"
]
return country_choices
def update_dropdown_choices():
with open(DATA_FILE, "r") as f:
data = json.load(f)
df = pd.DataFrame(data)
country_choices = sorted(df["Country"].dropna().unique()) if "Country" in df else update_country_choices()
city_choices = sorted(df["City"].dropna().unique()) if "City" in df else []
language_set = set()
if "Languages" in df:
for lang_list in df["Languages"].dropna():
if isinstance(lang_list, list):
language_set.update(lang_list)
elif isinstance(lang_list, str):
language_set.update(lang_list.split(", "))
return (
gr.update(choices=["All"] + list(country_choices), value="All"),
gr.update(choices=["All"] + list(city_choices), value="All"),
gr.update(choices=["All"] + sorted(language_set), value="All")
)
with gr.Blocks() as demo:
gr.Markdown("# π LeRobot Worldwide Hackathon - Team-Up Dashboard")
gr.Markdown("1. Submit or update your profile to find matching teammates and contact them on Discord. (Required fields marked with *.) ")
with gr.Row():
with gr.Column():
name = gr.Text(label="Name")
discord = gr.Text(label="π€ Discord Username *")
city = gr.Text(label="π City *")
country = gr.Text(label="π Country *")
address = gr.Text(label="Address (optional)")
looking = gr.Radio(["Yes", "No"], label="π Looking for a team?")
onlinecheck = gr.Radio(["Participate Online", "Join a Local Hackathon"], label="π I will...")
languages = gr.CheckboxGroup(choices=["English", "French", "Spanish", "German", "Portuguese", "Chinese", "Arabic", "Hindi"], label="Languages Spoken *")
laptop = gr.Text(label="π» Laptop Setup *")
robot = gr.Text(label="Robot Setup *")
skills = gr.Text(label="π§ Your Skills (comma separated)")
describe3 = gr.Text(label="π€ 3 Words That Describe You")
experience = gr.Dropdown(choices=["Beginner", "Intermediate", "Advanced"], label="Experience Level", value="Beginner")
idea = gr.Textbox(label="Project Idea (optional)")
submit_btn = gr.Button("Submit or Update Profile β
")
status = gr.Textbox(label="", interactive=False)
with gr.Column():
gr.Markdown("π― 2. Choose your preferences to find your teammates (country, city or language)")
country_filter = gr.Dropdown(label="Filter by Country", choices=["All"], value="All", allow_custom_value=False)
city_filter = gr.Dropdown(label="Filter by City", choices=["All"], value="All", allow_custom_value=False)
language_filter = gr.Dropdown(label="Filter by Language", choices=["All"], value="All", allow_custom_value=False)
table_html = gr.HTML(label="Matching Participants")
submit_btn.click(
submit_profile,
inputs=[name, discord, city, country, address, looking, onlinecheck, languages, laptop, robot, skills, describe3, experience, idea],
outputs=[status]
)
def update_dropdown_choices():
with open(DATA_FILE, "r") as f:
data = json.load(f)
df = pd.DataFrame(data)
country_choices = sorted(df["Country"].dropna().unique()) if "Country" in df else []
city_choices = sorted(df["City"].dropna().unique()) if "City" in df else []
language_set = set()
if "Languages" in df:
for lang_list in df["Languages"].dropna():
if isinstance(lang_list, list):
language_set.update(lang_list)
elif isinstance(lang_list, str):
language_set.update(lang_list.split(", "))
return (
gr.update(choices=["All"] + list(country_choices), value="All"),
gr.update(choices=["All"] + list(city_choices), value="All"),
gr.update(choices=["All"] + sorted(language_set), value="All")
)
def download_csv(code):
if code != ADMIN_CODE:
raise gr.Error("β Invalid admin code.")
with open(DATA_FILE, "r") as f:
data = json.load(f)
df = pd.DataFrame(data)
csv_path = os.path.join("data", "teamup_export.csv")
df.to_csv(csv_path, index=False)
return csv_path
with demo:
demo.load(
fn=lambda: filter_by_fields("All", "All", "All"),
inputs=[],
outputs=[table_html]
)
demo.load(fn=update_dropdown_choices, outputs=[country_filter, city_filter, language_filter])
country_filter.change(fn=filter_by_fields, inputs=[country_filter, city_filter, language_filter], outputs=table_html)
city_filter.change(fn=filter_by_fields, inputs=[country_filter, city_filter, language_filter], outputs=table_html)
language_filter.change(fn=filter_by_fields, inputs=[country_filter, city_filter, language_filter], outputs=table_html)
gr.Markdown("---\n### π‘οΈ Admin Panel (delete by Discord)")
admin_discord = gr.Text(label="Discord Username")
admin_code = gr.Text(label="Admin Code", type="password")
del_btn = gr.Button("Delete Profile")
del_status = gr.Textbox(label="Status", interactive=False)
del_btn.click(delete_by_discord, inputs=[admin_discord, admin_code], outputs=del_status)
# π CSV Download Section (admin-only)
gr.Markdown("---\n### π₯ Admin Export CSV")
export_code = gr.Text(label="Admin Code", type="password")
download_btn = gr.Button("Generate and Download CSV")
download_file = gr.File(label="CSV Export", interactive=False)
download_btn.click(fn=download_csv, inputs=[export_code], outputs=[download_file])
demo.launch()
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