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import gradio as gr | |
import pandas as pd | |
from datetime import datetime | |
# Placeholder for boba data | |
boba_data = pd.DataFrame(columns=["Date", "Shop", "Drink", "Toppings", "Size", "Sugar", "Rating", "Price"]) | |
def submit_boba_data(use_today, date, shop, drink, toppings, size, sugar, rating, price): | |
global boba_data | |
if use_today: | |
date = datetime.today().strftime('%Y-%m-%d') | |
new_entry = pd.DataFrame([{ | |
"Date": date, | |
"Shop": shop, | |
"Drink": drink, | |
"Toppings": toppings, | |
"Size": size, | |
"Sugar": sugar, | |
"Rating": rating, | |
"Price": price | |
}]) | |
boba_data = pd.concat([boba_data, new_entry], ignore_index=True) | |
return boba_data | |
def get_leaderboard(): | |
leaderboard = boba_data.groupby('Shop').agg({'Rating': 'mean', 'Shop': 'count'}).rename(columns={'Shop': 'Number of Entries'}).sort_values(by='Rating', ascending=False) | |
return leaderboard.reset_index() | |
def get_statistics(): | |
total_drinks = len(boba_data) | |
if total_drinks > 0: | |
favorite_drink = boba_data['Drink'].mode()[0] | |
favorite_topping = boba_data['Toppings'].mode()[0] | |
average_sugar = boba_data['Sugar'].mean() | |
total_spent = boba_data['Price'].sum() | |
# Plotting | |
fig, axs = plt.subplots(1, 2, figsize=(12, 5)) | |
# Plot 1: Sugar Distribution | |
sns.histplot(boba_data['Sugar'], bins=10, kde=True, ax=axs[0]) | |
axs[0].set_title('Sugar Distribution') | |
axs[0].set_xlabel('Sugar (%)') | |
axs[0].set_ylabel('Frequency') | |
# Plot 2: Rating Distribution | |
sns.histplot(boba_data['Rating'], bins=5, kde=True, ax=axs[1]) | |
axs[1].set_title('Rating Distribution') | |
axs[1].set_xlabel('Rating') | |
axs[1].set_ylabel('Frequency') | |
# Save plots to BytesIO and convert to image | |
img = BytesIO() | |
plt.savefig(img, format='png') | |
plt.close(fig) | |
img.seek(0) | |
return (f"Total drinks: {total_drinks}\n" | |
f"Favorite drink: {favorite_drink}\n" | |
f"Favorite topping: {favorite_topping}\n" | |
f"Average sugar level: {average_sugar:.2f}%\n" | |
f"Total spent: ${total_spent:.2f}", img.getvalue()) | |
else: | |
return "No data available", None | |
# Define Gradio inputs and interface | |
inputs = [ | |
gr.Checkbox(label="Use today's date?"), | |
gr.Textbox(label="Date (YYYY-MM-DD)"), | |
gr.Textbox(label="Shop"), | |
gr.Textbox(label="Drink"), | |
gr.Textbox(label="Toppings"), | |
gr.Dropdown(["Medium", "Large"], label="Size"), | |
gr.Slider(0, 200, label="Sugar (%)", step=25), | |
gr.Slider(1, 5, label="Rating"), | |
gr.Number(label="Price") | |
] | |
iface = gr.Interface( | |
fn=submit_boba_data, | |
inputs=inputs, | |
outputs=gr.Dataframe(), | |
title="Boba Tracker Data Entry" | |
) | |
leaderboard_iface = gr.Interface( | |
fn=get_leaderboard, | |
inputs=None, | |
outputs=gr.Dataframe(), | |
title="Boba Leaderboard" | |
) | |
def display_statistics(): | |
stats_text, stats_img = get_statistics() | |
if stats_img: | |
return [stats_text, gr.Image(value=stats_img)] | |
else: | |
return stats_text | |
stats_iface = gr.Interface( | |
fn=display_statistics, | |
inputs=None, | |
outputs=[gr.Textbox(), gr.Image()], | |
title="Boba Consumption Stats" | |
) | |
# Combine all interfaces into one app | |
gr.TabbedInterface([iface, leaderboard_iface, stats_iface], ["Data Entry", "Leaderboard", "Statistics"]).launch() | |