Delete App.py
Browse files
App.py
DELETED
|
@@ -1,91 +0,0 @@
|
|
| 1 |
-
import gradio as gr
|
| 2 |
-
import pandas as pd
|
| 3 |
-
from reportlab.lib.pagesizes import inch
|
| 4 |
-
from reportlab.pdfgen import canvas
|
| 5 |
-
from reportlab.lib.utils import ImageReader
|
| 6 |
-
import barcode
|
| 7 |
-
from barcode.writer import ImageWriter
|
| 8 |
-
import os
|
| 9 |
-
import zipfile
|
| 10 |
-
|
| 11 |
-
# Ensure 'labels' directory exists
|
| 12 |
-
os.makedirs("labels", exist_ok=True)
|
| 13 |
-
|
| 14 |
-
def generate_label(data, index):
|
| 15 |
-
"""
|
| 16 |
-
Generate a 4x6 inch shipping label as a PDF.
|
| 17 |
-
"""
|
| 18 |
-
pdf_filename = f"labels/shipping_label_{index+1}.pdf"
|
| 19 |
-
c = canvas.Canvas(pdf_filename, pagesize=(4 * inch, 6 * inch))
|
| 20 |
-
|
| 21 |
-
# Draw sender details (top-left)
|
| 22 |
-
c.setFont("Helvetica-Bold", 12)
|
| 23 |
-
c.drawString(30, 500, "From:")
|
| 24 |
-
c.setFont("Helvetica", 10)
|
| 25 |
-
c.drawString(30, 485, data['Sender Name'])
|
| 26 |
-
c.drawString(30, 470, data['Sender Address'])
|
| 27 |
-
c.drawString(30, 455, data['Sender City, State ZIP'])
|
| 28 |
-
|
| 29 |
-
# Draw recipient details (middle)
|
| 30 |
-
c.setFont("Helvetica-Bold", 12)
|
| 31 |
-
c.drawString(30, 400, "To:")
|
| 32 |
-
c.setFont("Helvetica", 10)
|
| 33 |
-
c.drawString(30, 385, data['Recipient Name'])
|
| 34 |
-
c.drawString(30, 370, data['Recipient Address'])
|
| 35 |
-
c.drawString(30, 355, data['Recipient City, State ZIP'])
|
| 36 |
-
|
| 37 |
-
# Draw shipping service
|
| 38 |
-
c.setFont("Helvetica-Bold", 12)
|
| 39 |
-
c.drawString(30, 320, f"Service: {data['Shipping Service']}")
|
| 40 |
-
|
| 41 |
-
# Draw tracking number
|
| 42 |
-
c.setFont("Helvetica-Bold", 12)
|
| 43 |
-
c.drawString(30, 280, "Tracking #:")
|
| 44 |
-
c.setFont("Helvetica", 12)
|
| 45 |
-
c.drawString(30, 260, data['Tracking Number'])
|
| 46 |
-
|
| 47 |
-
# Generate barcode
|
| 48 |
-
barcode_filename = f"labels/barcode_{index+1}.png"
|
| 49 |
-
ean = barcode.get_barcode_class('code128')
|
| 50 |
-
ean_obj = ean(data['Tracking Number'], writer=ImageWriter())
|
| 51 |
-
ean_obj.save(barcode_filename)
|
| 52 |
-
|
| 53 |
-
# Add barcode to label
|
| 54 |
-
barcode_img = ImageReader(barcode_filename)
|
| 55 |
-
c.drawImage(barcode_img, 30, 120, width=300, height=100)
|
| 56 |
-
|
| 57 |
-
# Save PDF
|
| 58 |
-
c.showPage()
|
| 59 |
-
c.save()
|
| 60 |
-
|
| 61 |
-
def process_csv(file):
|
| 62 |
-
"""
|
| 63 |
-
Read CSV and generate labels.
|
| 64 |
-
"""
|
| 65 |
-
df = pd.read_csv(file.name)
|
| 66 |
-
|
| 67 |
-
# Generate labels for each row
|
| 68 |
-
for i, row in df.iterrows():
|
| 69 |
-
generate_label(row, i)
|
| 70 |
-
|
| 71 |
-
# Zip all PDFs into a single file for download
|
| 72 |
-
zip_filename = "labels/shipping_labels.zip"
|
| 73 |
-
with zipfile.ZipFile(zip_filename, "w") as zipf:
|
| 74 |
-
for label_file in os.listdir("labels"):
|
| 75 |
-
if label_file.endswith(".pdf"):
|
| 76 |
-
zipf.write(f"labels/{label_file}", label_file)
|
| 77 |
-
|
| 78 |
-
return zip_filename
|
| 79 |
-
|
| 80 |
-
# Gradio Interface
|
| 81 |
-
interface = gr.Interface(
|
| 82 |
-
fn=process_csv,
|
| 83 |
-
inputs=gr.File(label="Upload CSV File"),
|
| 84 |
-
outputs=gr.File(label="Download Shipping Labels (ZIP)"),
|
| 85 |
-
title="4x6 Shipping Label Generator",
|
| 86 |
-
description="Upload a CSV file with shipping details, and this app will generate professional 4x6 shipping labels with barcodes.",
|
| 87 |
-
)
|
| 88 |
-
|
| 89 |
-
# Run the app
|
| 90 |
-
if __name__ == "__main__":
|
| 91 |
-
interface.launch()
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|