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import gradio as gr
def readiness_predictor(
savings, income, bills, entertainment, sales_skills, dependents, assets, age, idea_level
):
# Simple heuristic formula
disposable_income = income - bills - entertainment
score = (
(savings + assets) / 1000
+ disposable_income / 500
+ sales_skills * 2
+ idea_level * 3 # <-- new factor: strong weight for business idea quality
- dependents
+ (40 - abs(35 - age)) / 5
)
score = max(0, min(100, score))
if score < 30:
prediction = "๐ด Low readiness"
elif score < 60:
prediction = "๐ก Moderate readiness"
else:
prediction = "๐ข High readiness"
return score, prediction
with gr.Blocks(theme=gr.themes.Soft()) as demo:
gr.Markdown(
"""
# ๐ Entrepreneurial Readiness Predictor
Enter your details below to estimate your readiness to start a business.
"""
)
with gr.Row():
with gr.Column(scale=1):
savings = gr.Number(label="๐ฐ Savings Amount ($)", value=1000)
income = gr.Number(label="๐ต Monthly Income ($)", value=4000)
bills = gr.Number(label="๐ Monthly Bills ($)", value=2500)
entertainment = gr.Number(label="๐ Monthly Entertainment ($)", value=300)
sales_skills = gr.Slider(label="๐ฃ๏ธ Sales Skills (1โ5)", minimum=1, maximum=5, step=1, value=3)
dependents = gr.Slider(label="๐จโ๐ฉโ๐ง Dependents (0โ6)", minimum=0, maximum=6, step=1, value=1)
assets = gr.Number(label="๐ Assets ($)", value=8000)
age = gr.Number(label="๐ Age", value=28)
idea_level = gr.Slider(label="๐ก Business Idea Quality (1โ10)", minimum=1, maximum=10, step=1, value=5)
btn = gr.Button("๐ฎ Predict Readiness")
with gr.Column(scale=1):
score_bar = gr.Slider(label="Readiness Score", minimum=0, maximum=100, value=0, interactive=False)
prediction_text = gr.Label(label="Result")
info = gr.Markdown(
"โน๏ธ **What does this mean?**\n\n"
"The readiness score (0โ100) is based on savings, income, "
"expenses, skills, dependents, age, and your business idea quality. "
"Higher values suggest stronger preparedness for entrepreneurship.\n\n"
"- **0โ29:** Low readiness ๐ด\n"
"- **30โ59:** Moderate readiness ๐ก\n"
"- **60โ100:** High readiness ๐ข"
)
btn.click(
readiness_predictor,
inputs=[savings, income, bills, entertainment, sales_skills, dependents, assets, age, idea_level],
outputs=[score_bar, prediction_text]
)
demo.launch()
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