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Create app.py
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app.py
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import gradio as gr
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import pandas as pd
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# Placeholder for boba data
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boba_data = pd.DataFrame(columns=["Date", "Shop", "Drink", "Toppings", "Size", "Rating", "Price"])
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def submit_boba_data(date, shop, drink, toppings, size, rating, price):
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global boba_data
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new_entry = {"Date": date, "Shop": shop, "Drink": drink, "Toppings": toppings, "Size": size, "Rating": rating, "Price": price}
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boba_data = boba_data.append(new_entry, ignore_index=True)
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return boba_data
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def get_leaderboard():
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leaderboard = boba_data.groupby('Shop').agg({'Rating': 'mean', 'Shop': 'count'}).sort_values(by='Rating', ascending=False)
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return leaderboard
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def get_statistics():
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total_drinks = len(boba_data)
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favorite_drink = boba_data['Drink'].mode()[0] if total_drinks > 0 else "No data"
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total_spent = boba_data['Price'].sum()
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return f"Total drinks: {total_drinks}\nFavorite drink: {favorite_drink}\nTotal spent: ${total_spent}"
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# Define Gradio inputs and interface
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inputs = [
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gr.inputs.Textbox(label="Date"),
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gr.inputs.Textbox(label="Shop"),
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gr.inputs.Textbox(label="Drink"),
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gr.inputs.Textbox(label="Toppings"),
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gr.inputs.Dropdown(["Small", "Medium", "Large"], label="Size"),
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gr.inputs.Slider(1, 5, label="Rating"),
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gr.inputs.Number(label="Price")
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]
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iface = gr.Interface(
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fn=submit_boba_data,
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inputs=inputs,
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outputs=gr.DataFrame(),
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title="Boba Tracker Data Entry"
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)
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leaderboard_iface = gr.Interface(
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fn=get_leaderboard,
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inputs=None,
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outputs=gr.DataFrame(),
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title="Boba Leaderboard"
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)
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stats_iface = gr.Interface(
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fn=get_statistics,
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inputs=None,
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outputs="text",
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title="Boba Consumption Stats"
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)
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# Combine all interfaces into one app
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gr.TabbedInterface([iface, leaderboard_iface, stats_iface], ["Data Entry", "Leaderboard", "Statistics"]).launch()
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