Create app.py

app.py

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+import gradio as gr
+import pandas as pd
+import openpyxl
+from io import BytesIO
+import re
+
+def parse_assumptions(assumptions_text):
+    # Default values
+    params = {
+        'initial_investment': 1000000000,  # Rp 1M
+        'annual_revenue': 500000000,      # Rp 500jt/tahun
+        'revenue_growth': 0.05,           # 5% per tahun
+        'operating_cost': 300000000,      # Rp 300jt/tahun
+        'cost_growth': 0.03,              # 3% per tahun
+        'depreciation_years': 7,          # Umur ekonomis mesin
+        'tax_rate': 0.25,                 # Pajak 25%
+        'working_capital': 50000000       # Modal kerja Rp 50jt
+    }
+    
+    # Parsing assumptions from text
+    patterns = {
+        'initial_investment': r'Initial Investment[\s:]*Rp\s*([\d,.]+)',
+        'annual_revenue': r'Annual Revenue[\s:]*Rp\s*([\d,.]+)',
+        'revenue_growth': r'Revenue Growth[\s:]*([\d.]+)\%',
+        'operating_cost': r'Operating Cost[\s:]*Rp\s*([\d,.]+)',
+        'cost_growth': r'Cost Growth[\s:]*([\d.]+)\%',
+        'depreciation_years': r'Depreciation Years[\s:]*(\d+)',
+        'tax_rate': r'Tax Rate[\s:]*([\d.]+)\%',
+        'working_capital': r'Working Capital[\s:]*Rp\s*([\d,.]+)'
+    }
+    
+    for key, pattern in patterns.items():
+        match = re.search(pattern, assumptions_text, re.IGNORECASE)
+        if match:
+            value = match.group(1)
+            if key in ['initial_investment', 'annual_revenue', 'operating_cost', 'working_capital']:
+                value = float(value.replace(',', '').replace('.', ''))
+            elif key in ['revenue_growth', 'cost_growth', 'tax_rate']:
+                value = float(value) / 100
+            else:
+                value = float(value)
+            params[key] = value
+    
+    return params
+
+def generate_financials(assumptions_text):
+    params = parse_assumptions(assumptions_text)
+    years = range(1, 8)
+    
+    # Initialize data structures
+    profit_loss = []
+    cashflow = []
+    
+    # Calculate financials
+    initial_investment = params['initial_investment']
+    working_capital = params['working_capital']
+    depreciation = initial_investment / params['depreciation_years']
+    
+    revenue = params['annual_revenue']
+    operating_cost = params['operating_cost']
+    
+    for year in years:
+        # Profit Loss
+        revenue *= (1 + params['revenue_growth'])
+        operating_cost *= (1 + params['cost_growth'])
+        
+        ebitda = revenue - operating_cost
+        ebit = ebitda - depreciation
+        tax = max(ebit * params['tax_rate'], 0)
+        net_income = ebit - tax
+        
+        profit_loss.append({
+            'Year': year,
+            'Revenue': revenue,
+            'Operating Cost': operating_cost,
+            'EBITDA': ebitda,
+            'Depreciation': depreciation,
+            'EBIT': ebit,
+            'Tax': tax,
+            'Net Income': net_income
+        })
+        
+        # Cashflow
+        cash_in = revenue
+        cash_out = operating_cost + tax
+        if year == 1:
+            cash_out += initial_investment + working_capital
+        if year == 7:
+            cash_in += working_capital  # Recovery of working capital
+        net_cashflow = cash_in - cash_out
+        
+        cashflow.append({
+            'Year': year,
+            'Cash In': cash_in,
+            'Cash Out': cash_out,
+            'Net Cashflow': net_cashflow
+        })
+    
+    # Create DataFrames
+    pl_df = pd.DataFrame(profit_loss)
+    cf_df = pd.DataFrame(cashflow)
+    
+    # Create Excel file
+    output = BytesIO()
+    with pd.ExcelWriter(output, engine='openpyxl') as writer:
+        pl_df.to_excel(writer, sheet_name='Profit_Loss', index=False)
+        cf_df.to_excel(writer, sheet_name='Cashflow', index=False)
+    
+    output.seek(0)
+    return output, 'financial_projections.xlsx'
+
+# Gradio interface
+with gr.Blocks() as demo:
+    gr.Markdown("# Financial Projections for Tea Production Machine Replacement")
+    assumptions = gr.Textbox(
+        label="Input Assumptions",
+        placeholder="""Example format:
+Initial Investment: Rp 1,000,000,000
+Annual Revenue: Rp 500,000,000
+Revenue Growth: 5%
+Operating Cost: Rp 300,000,000
+Cost Growth: 3%
+Depreciation Years: 7
+Tax Rate: 25%
+Working Capital: Rp 50,000,000""",
+        lines=10
+    )
+    generate_button = gr.Button("Generate Financials")
+    output_file = gr.File(label="Download Excel File")
+    
+    generate_button.click(
+        fn=generate_financials,
+        inputs=assumptions,
+        outputs=[output_file]
+    )
+
+demo.launch()