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fffe8e3 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 | import gradio as gr
import pandas as pd
def calculate(daily_queries, cloud_cost, days):
cloud_total = (daily_queries / 1000) * cloud_cost * days
device_total = 0.50
savings = cloud_total - device_total
data = pd.DataFrame([
{"Approach": "Cloud API", "Cost ($)": round(cloud_total, 2)},
{"Approach": "dispatchAI On-Device", "Cost ($)": round(device_total, 2)},
])
return data, f"Annual savings: ${savings:,.2f} ({(savings/cloud_total*100):.0f}%)" if cloud_total > 0 else "N/A"
with gr.Blocks(theme=gr.themes.Soft(primary_hue="blue"), title="Cost Visualizer") as demo:
gr.Markdown("# 💰 dispatchAI Cost Savings Visualizer")
with gr.Row():
dq = gr.Slider(100, 100000, value=10000, step=100, label="Daily Queries")
cc = gr.Slider(0.1, 10, value=0.5, step=0.1, label="Cloud $/1K queries")
dy = gr.Slider(30, 3650, value=365, step=30, label="Days")
btn = gr.Button("Calculate", variant="primary")
chart = gr.BarPlot(x="Approach", y="Cost ($)", title="Cost Comparison", height=300)
text = gr.Markdown("")
btn.click(fn=calculate, inputs=[dq, cc, dy], outputs=[chart, text])
gr.Markdown("---\n🚀 [dispatchAI](https://huggingface.co/dispatchAI)")
demo.launch()
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