Update app.py

app.py

@@ -6,61 +6,50 @@ def readiness_predictor(
     # Simple heuristic formula
     disposable_income = income - bills - entertainment
     score = (
-        (savings + assets) / 1000
-        + disposable_income / 500
-        + sales_skills * 2
-        - dependents
-        + (40 - abs(35 - age)) / 5
+        (savings + assets) / 1000      # more savings/assets = better
+        + disposable_income / 500      # more free income = better
+        + sales_skills * 2             # sales skills matter a lot
+        - dependents                   # more dependents = more pressure
+        + (40 - abs(35 - age)) / 5     # ideal range ~35 years old
     )
+
+    # Clamp score to 0–100
     score = max(0, min(100, score))
 
     if score < 30:
-        prediction = "🔴 Low readiness"
+        prediction = "Low readiness"
     elif score < 60:
-        prediction = "🟡 Moderate readiness"
+        prediction = "Moderate readiness"
     else:
-        prediction = "🟢 High readiness"
+        prediction = "High readiness"
     
-    return score, prediction
+    return {
+        "Readiness Score": round(score, 2),
+        "Prediction": prediction
+    }
 
-with gr.Blocks(theme=gr.themes.Soft()) as demo:
-    gr.Markdown(
-        """
-        # 🚀 Entrepreneurial Readiness Predictor  
-        Enter your details below to estimate your readiness to start a business.  
-        """
-    )
+with gr.Blocks() as demo:
+    gr.Markdown("# 🚀 Entrepreneurial Readiness Predictor")
     
     with gr.Row():
-        with gr.Column(scale=1):
-            savings = gr.Number(label="💰 Savings Amount ($)", value=1000)
-            income = gr.Number(label="💵 Monthly Income ($)", value=4000)
-            bills = gr.Number(label="📑 Monthly Bills ($)", value=2500)
-            entertainment = gr.Number(label="🎉 Monthly Entertainment ($)", value=300)
-            sales_skills = gr.Slider(label="🗣️ Sales Skills (1–5)", minimum=1, maximum=5, step=1, value=3)
-            dependents = gr.Slider(label="👨‍👩‍👧 Dependents (0–6)", minimum=0, maximum=6, step=1, value=1)
-            assets = gr.Number(label="🏠 Assets ($)", value=8000)
-            age = gr.Number(label="🎂 Age", value=28)
-            btn = gr.Button("🔮 Predict Readiness")
-        
-        with gr.Column(scale=1):
-            score_bar = gr.Progress(label="Readiness Score", value=0, maximum=100)
-            prediction_text = gr.Label(label="Result")
-            info = gr.Markdown(
-                "ℹ️ **What does this mean?**\n\n"
-                "The readiness score (0–100) is a simple index based on savings, income, "
-                "expenses, skills, dependents, and age. Higher values suggest stronger "
-                "financial and personal preparedness for entrepreneurship.\n\n"
-                "- **0–29:** Low readiness 🔴\n"
-                "- **30–59:** Moderate readiness 🟡\n"
-                "- **60–100:** High readiness 🟢"
+        with gr.Column():
+            savings = gr.Number(label="Savings Amount ($)", value=1000)
+            income = gr.Number(label="Monthly Income ($)", value=4000)
+            bills = gr.Number(label="Monthly Bills ($)", value=2500)
+            entertainment = gr.Number(label="Monthly Entertainment ($)", value=300)
+            sales_skills = gr.Slider(label="Sales Skills (1–5)", minimum=1, maximum=5, step=1, value=3)
+            dependents = gr.Slider(label="Dependents (0–6)", minimum=0, maximum=6, step=1, value=1)
+            assets = gr.Number(label="Assets ($)", value=8000)
+            age = gr.Number(label="Age", value=28)
+            
+        with gr.Column():
+            output = gr.JSON(label="Prediction")
+            btn = gr.Button("Predict")
+            btn.click(
+                readiness_predictor,
+                inputs=[savings, income, bills, entertainment, sales_skills, dependents, assets, age],
+                outputs=output
             )
-    
-    btn.click(
-        readiness_predictor,
-        inputs=[savings, income, bills, entertainment, sales_skills, dependents, assets, age],
-        outputs=[score_bar, prediction_text]
-    )
 
 demo.launch()