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Update app.py
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app.py
CHANGED
@@ -1,121 +1,88 @@
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import gradio as gr
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import pandas as pd
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from fpdf import FPDF
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from datetime import datetime
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import tempfile
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# Initialize an empty DataFrame to store all records of invoices
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ledger = pd.DataFrame(columns=["Head", "Company Name", "SP/Station", "Invoice No", "Date", "Amount"])
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# Function to add a new invoice
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def add_invoice(head, company_name, sp_station, invoice_no, date, amount):
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global ledger
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# Calculate the total for the selected head
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total_amount = filtered_ledger["Amount"].sum()
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return filtered_ledger, f"Total for {head}: {total_amount:.2f}"
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except Exception as e:
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print(f"Error during adding invoice: {e}")
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return pd.DataFrame(), "Error during adding invoice"
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# Function to search and display all previous records by head
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def search_by_head(head):
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filtered_ledger = ledger[ledger["Head"] == head]
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# Calculate the total for the selected head
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total_amount = filtered_ledger["Amount"].sum()
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return filtered_ledger, f"Total for {head}: {total_amount:.2f}"
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print(f"Error during search by head: {e}")
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return pd.DataFrame(), "Error during search by head"
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# Function to generate a PDF report for a specific head
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def generate_ledger_pdf(head):
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global ledger
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pdf.ln(10)
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# Table headers
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pdf.set_font("Arial", 'B', 12)
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pdf.cell(
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pdf.cell(40, 10, "
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# Filter records by head
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filtered_ledger = ledger[ledger["Head"] == head]
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if filtered_ledger.empty:
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pdf.cell(0, 10, f"No records found for {head}", ln=True, align="C")
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else:
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pdf.set_font("Arial", size=12)
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for _, row in filtered_ledger.iterrows():
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pdf.cell(50, 10, str(row['Company Name']), border=1, align="C")
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pdf.cell(40, 10, str(row['SP/Station']), border=1, align="C")
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pdf.cell(30, 10, str(row['Invoice No']), border=1, align="C")
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pdf.cell(30, 10, str(row['Date']), border=1, align="C")
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pdf.cell(40, 10, f"{row['Amount']:.2f}", border=1, ln=True, align="C")
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# Total amount for the head
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total_amount = filtered_ledger["Amount"].sum()
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pdf.ln(10) # Add some space before the total
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pdf.set_font("Arial", 'B', 12)
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pdf.cell(150, 10, "Total Amount", border=1, align="R")
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pdf.cell(40, 10, f"{total_amount:.2f}", border=1, ln=True, align="C")
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# Save PDF file
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pdf.output(pdf_file_path)
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# Return the file path for download
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return pdf_file_path
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except Exception as e:
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print(f"Error during PDF generation: {e}")
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return None
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# Gradio interface
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with gr.Blocks() as app:
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# Section for adding new invoices with Head and Company Name fields
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with gr.Row():
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head = gr.Textbox(label="Head")
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company_name = gr.Textbox(label="Company Name")
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date = gr.Textbox(label="Date")
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amount = gr.Number(label="Amount")
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add_button = gr.Button("Add Invoice")
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# Section for searching and displaying ledger by head
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with gr.Row():
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search_head = gr.Textbox(label="Search by Head")
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search_button = gr.Button("Search Ledger")
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ledger_records = gr.DataFrame(label="Ledger Records")
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total_display = gr.Textbox(label="Total Amount", interactive=False)
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# Section for generating and displaying PDF link
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with gr.Row():
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generate_pdf_button = gr.Button("Generate PDF")
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pdf_output = gr.File(label="Download PDF")
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# Define button functionalities
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add_button.click(add_invoice, [head, company_name, sp_station, invoice_no, date, amount], [ledger_records, total_display])
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filtered_ledger, total = search_by_head(head)
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return filtered_ledger, total
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search_button.click(search_ledger, [search_head], [ledger_records, total_display])
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def generate_pdf(head):
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pdf_path = generate_ledger_pdf(head)
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if pdf_path:
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return pdf_path
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else:
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return None
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generate_pdf_button.click(generate_pdf, [search_head], [pdf_output])
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# Launch the app
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app.launch(share=True)
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from transformers import pipeline
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from fpdf import FPDF
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import gradio as gr
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import pandas as pd
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from datetime import datetime
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import tempfile
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# Load text generation model
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generator = pipeline("text-generation", model="gpt-2")
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# Initialize an empty DataFrame to store all records of invoices
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ledger = pd.DataFrame(columns=["Head", "Company Name", "SP/Station", "Invoice No", "Date", "Amount"])
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# Function to add a new invoice
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def add_invoice(head, company_name, sp_station, invoice_no, date, amount):
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global ledger
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new_row = {
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"Head": head,
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"Company Name": company_name,
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"SP/Station": sp_station,
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"Invoice No": invoice_no,
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"Date": date,
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"Amount": float(amount)
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}
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ledger = pd.concat([ledger, pd.DataFrame([new_row])], ignore_index=True)
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filtered_ledger = ledger[ledger["Head"] == head]
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total_amount = filtered_ledger["Amount"].sum()
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return filtered_ledger, f"Total for {head}: {total_amount:.2f}"
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# Function to search and display all records by head
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def search_by_head(head):
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filtered_ledger = ledger[ledger["Head"] == head]
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total_amount = filtered_ledger["Amount"].sum()
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return filtered_ledger, f"Total for {head}: {total_amount:.2f}"
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# Function to generate a PDF report
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def generate_ledger_pdf(head):
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global ledger
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# Generate some content for the PDF using the Hugging Face model
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generated_text = generator(f"Generate a report summary for {head}.", max_length=50)[0]['generated_text']
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with tempfile.NamedTemporaryFile(delete=False, suffix=".pdf") as tmp_file:
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pdf_file_path = tmp_file.name
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pdf = FPDF()
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pdf.add_page()
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# Title and generated content
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pdf.set_font("Arial", 'B', 16)
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pdf.cell(0, 10, f"Ledger Report for {head}", ln=True, align="C")
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pdf.set_font("Arial", 'I', 12)
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pdf.cell(0, 10, f"Generated Content: {generated_text}", ln=True, align="C")
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pdf.ln(10)
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# Table headers
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pdf.set_font("Arial", 'B', 12)
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pdf.cell(50, 10, "Company Name", border=1, align="C")
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pdf.cell(40, 10, "SP/Station", border=1, align="C")
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pdf.cell(30, 10, "Invoice No", border=1, align="C")
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pdf.cell(30, 10, "Date", border=1, align="C")
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pdf.cell(40, 10, "Amount", border=1, ln=True, align="C")
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filtered_ledger = ledger[ledger["Head"] == head]
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if not filtered_ledger.empty:
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pdf.set_font("Arial", size=12)
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for _, row in filtered_ledger.iterrows():
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pdf.cell(50, 10, str(row['Company Name']), border=1, align="C")
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pdf.cell(40, 10, str(row['SP/Station']), border=1, align="C")
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pdf.cell(30, 10, str(row['Invoice No']), border=1, align="C")
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pdf.cell(30, 10, str(row['Date']), border=1, align="C")
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pdf.cell(40, 10, f"{row['Amount']:.2f}", border=1, ln=True, align="C")
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# Total amount for the head
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total_amount = filtered_ledger["Amount"].sum()
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pdf.ln(10)
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pdf.set_font("Arial", 'B', 12)
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pdf.cell(150, 10, "Total Amount", border=1, align="R")
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pdf.cell(40, 10, f"{total_amount:.2f}", border=1, ln=True, align="C")
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pdf.output(pdf_file_path)
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return pdf_file_path
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# Gradio interface
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with gr.Blocks() as app:
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with gr.Row():
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head = gr.Textbox(label="Head")
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company_name = gr.Textbox(label="Company Name")
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date = gr.Textbox(label="Date")
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amount = gr.Number(label="Amount")
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add_button = gr.Button("Add Invoice")
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with gr.Row():
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search_head = gr.Textbox(label="Search by Head")
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search_button = gr.Button("Search Ledger")
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ledger_records = gr.DataFrame(label="Ledger Records")
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total_display = gr.Textbox(label="Total Amount", interactive=False)
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with gr.Row():
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generate_pdf_button = gr.Button("Generate PDF")
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pdf_output = gr.File(label="Download PDF")
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add_button.click(add_invoice, [head, company_name, sp_station, invoice_no, date, amount], [ledger_records, total_display])
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search_button.click(search_by_head, [search_head], [ledger_records, total_display])
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generate_pdf_button.click(generate_ledger_pdf, [search_head], [pdf_output])
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app.launch(share=True)
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