Create app.py

app.py

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+import gradio as gr
+
+# -------------------------------
+# Appliance Wattage (Pakistan Common)
+# -------------------------------
+APPLIANCES = {
+    "LED Light": 15,
+    "Ceiling Fan": 80,
+    "Refrigerator": 200,
+    "LED TV": 120,
+    "Washing Machine": 500,
+    "Iron": 1000,
+    "Water Pump (1 HP)": 750,
+    "Air Conditioner (1 Ton)": 1500,
+    "Laptop": 100,
+    "Desktop Computer": 300
+}
+
+PEAK_SUN_HOURS = 5  # Pakistan average
+
+# -------------------------------
+# Core Calculation Function
+# -------------------------------
+def calculate_solar(
+    selected_appliances,
+    quantities,
+    hours,
+    city,
+    system_type,
+    battery_type,
+    backup_hours
+):
+    if not selected_appliances:
+        return "❌ Please select at least one appliance."
+
+    total_daily_wh = 0
+
+    for app in selected_appliances:
+        qty = quantities.get(app, 1)
+        hrs = hours.get(app, 1)
+        watt = APPLIANCES[app]
+        total_daily_wh += watt * qty * hrs
+
+    daily_units = total_daily_wh / 1000  # kWh
+
+    # Solar system size (kW)
+    system_kw = round(daily_units / PEAK_SUN_HOURS, 2)
+
+    # Panels
+    panel_watt = 550
+    panels_required = int((system_kw * 1000) / panel_watt) + 1
+
+    # Inverter sizing
+    inverter_kw = round(system_kw + 1, 1)
+
+    # Battery sizing
+    battery_kwh = 0
+    if system_type != "On-Grid":
+        night_load_wh = (total_daily_wh / 24) * backup_hours
+        battery_kwh = round(night_load_wh / 1000, 2)
+
+    # -------------------------------
+    # Cost Estimation (PKR)
+    # -------------------------------
+    panel_cost = system_kw * 1000 * 45
+    inverter_cost = inverter_kw * 120000
+
+    if battery_type == "Lithium":
+        battery_cost = battery_kwh * 120000
+    else:
+        battery_cost = battery_kwh * 35000
+
+    subtotal = panel_cost + inverter_cost + battery_cost
+    installation = subtotal * 0.10
+    total_cost = int(subtotal + installation)
+
+    monthly_units = daily_units * 30
+    monthly_saving = int(monthly_units * 60)  # Avg PKR/unit
+
+    # -------------------------------
+    # Output Summary
+    # -------------------------------
+    result = f"""
+🌞 **Solar System Recommendation (Pakistan)**
+
+📍 City: {city}  
+⚡ System Type: {system_type}
+
+🔌 **Load Summary**
+- Daily Consumption: {round(daily_units,2)} Units (kWh)
+
+🔋 **System Design**
+- Solar System Size: {system_kw} kW
+- Panels Required: {panels_required} × {panel_watt}W
+- Inverter Size: {inverter_kw} kW
+- Battery Capacity: {battery_kwh} kWh ({battery_type})
+
+💰 **Estimated Cost**
+- Total System Cost: PKR {total_cost:,}
+
+📉 **Savings**
+- Monthly Units Generated: {round(monthly_units,1)}
+- Estimated Monthly Saving: PKR {monthly_saving:,}
+
+⚠️ *Prices are estimates and may vary by market.*
+    """
+
+    return result
+
+# -------------------------------
+# Gradio UI
+# -------------------------------
+with gr.Blocks(title="Solar Panel Calculator - Pakistan") as app:
+    gr.Markdown("## ☀️ Solar Panel Requirement Calculator (Pakistan)")
+
+    appliance_select = gr.CheckboxGroup(
+        choices=list(APPLIANCES.keys()),
+        label="Select Appliances"
+    )
+
+    quantity_inputs = {}
+    hour_inputs = {}
+
+    for appliance in APPLIANCES:
+        with gr.Row():
+            quantity_inputs[appliance] = gr.Number(
+                label=f"{appliance} Quantity", value=1, visible=False
+            )
+            hour_inputs[appliance] = gr.Number(
+                label=f"{appliance} Daily Usage (Hours)", value=5, visible=False
+            )
+
+    def toggle_inputs(selected):
+        updates = []
+        for app in APPLIANCES:
+            visible = app in selected
+            updates.append(gr.update(visible=visible))
+            updates.append(gr.update(visible=visible))
+        return updates
+
+    appliance_select.change(
+        toggle_inputs,
+        appliance_select,
+        sum([[quantity_inputs[a], hour_inputs[a]] for a in APPLIANCES], [])
+    )
+
+    city = gr.Dropdown(
+        ["Lahore", "Karachi", "Islamabad", "Faisalabad", "Multan", "Other"],
+        label="City"
+    )
+
+    system_type = gr.Radio(
+        ["On-Grid", "Off-Grid", "Hybrid"],
+        label="Solar System Type",
+        value="Hybrid"
+    )
+
+    battery_type = gr.Radio(
+        ["Lead Acid", "Lithium"],
+        label="Battery Type",
+        value="Lead Acid"
+    )
+
+    backup_hours = gr.Slider(
+        2, 12, value=6, step=1, label="Backup Hours Required"
+    )
+
+    calculate_btn = gr.Button("🔍 Calculate Solar System")
+
+    output = gr.Textbox(lines=20, label="Result")
+
+    calculate_btn.click(
+        calculate_solar,
+        inputs=[
+            appliance_select,
+            quantity_inputs,
+            hour_inputs,
+            city,
+            system_type,
+            battery_type,
+            backup_hours
+        ],
+        outputs=output
+    )
+
+app.launch()