Create app.py

app.py

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+import gradio as gr
+import pandas as pd
+
+def current_ratio_calculator(
+    cash,
+    marketable_securities,
+    accounts_receivable,
+    inventory,
+    prepaid_expenses,
+    accounts_payable,
+    short_term_debt,
+    accrued_liabilities,
+    unearned_revenue,
+    current_portion_ltd
+):
+    # Totals
+    total_current_assets = (
+        cash
+        + marketable_securities
+        + accounts_receivable
+        + inventory
+        + prepaid_expenses
+    )
+
+    total_current_liabilities = (
+        accounts_payable
+        + short_term_debt
+        + accrued_liabilities
+        + unearned_revenue
+        + current_portion_ltd
+    )
+
+    # Metrics
+    working_capital = total_current_assets - total_current_liabilities
+    current_ratio = (
+        total_current_assets / total_current_liabilities
+        if total_current_liabilities != 0
+        else float("inf")
+    )
+
+    # Table data
+    data = pd.DataFrame({
+        "Component": [
+            "Cash & Cash Equivalents",
+            "Marketable Securities",
+            "Accounts Receivable",
+            "Inventory",
+            "Prepaid Expenses",
+            "Accounts Payable",
+            "Short-Term Debt/Loans",
+            "Accrued Liabilities/Expenses",
+            "Unearned Revenue",
+            "Current Portion of Long-Term Debt",
+            "Total Current Assets",
+            "Total Current Liabilities",
+        ],
+        "Amount": [
+            cash,
+            marketable_securities,
+            accounts_receivable,
+            inventory,
+            prepaid_expenses,
+            accounts_payable,
+            short_term_debt,
+            accrued_liabilities,
+            unearned_revenue,
+            current_portion_ltd,
+            total_current_assets,
+            total_current_liabilities,
+        ],
+    })
+
+    summary = f"""
+### 📊 Current Ratio Analysis
+
+- **Working Capital:** ₹ {working_capital:,.2f}  
+- **Current Ratio:** {current_ratio:.2f}
+"""
+
+    return summary, data
+
+
+with gr.Blocks() as demo:
+    gr.Markdown("## CURRENT RATIO Calculator")
+
+    with gr.Row():
+        with gr.Column():
+            gr.Markdown("### Current Assets")
+            cash = gr.Number(label="Cash & Cash Equivalents", value=0)
+            marketable_securities = gr.Number(label="Marketable Securities", value=0)
+            accounts_receivable = gr.Number(label="Accounts Receivable", value=0)
+            inventory = gr.Number(label="Inventory", value=0)
+            prepaid_expenses = gr.Number(label="Prepaid Expenses", value=0)
+
+        with gr.Column():
+            gr.Markdown("### Current Liabilities")
+            accounts_payable = gr.Number(label="Accounts Payable", value=0)
+            short_term_debt = gr.Number(label="Short-Term Debt / Loans", value=0)
+            accrued_liabilities = gr.Number(label="Accrued Liabilities / Expenses", value=0)
+            unearned_revenue = gr.Number(label="Unearned Revenue", value=0)
+            current_portion_ltd = gr.Number(label="Current Portion of Long-Term Debt", value=0)
+
+    btn = gr.Button("Calculate")
+
+    summary_output = gr.Markdown()
+    table_output = gr.Dataframe()
+
+    btn.click(
+        current_ratio_calculator,
+        inputs=[
+            cash,
+            marketable_securities,
+            accounts_receivable,
+            inventory,
+            prepaid_expenses,
+            accounts_payable,
+            short_term_debt,
+            accrued_liabilities,
+            unearned_revenue,
+            current_portion_ltd,
+        ],
+        outputs=[summary_output, table_output],
+    )
+
+demo.launch()
+