Spaces:
Running
Running
File size: 20,812 Bytes
bf62248 255a121 d51cc1f bf62248 255a121 bf62248 ba29ad3 791970f ba29ad3 791970f ba29ad3 791970f ba29ad3 bf62248 255a121 bf62248 255a121 bf62248 131728e 29dbdec 255a121 29dbdec 2405082 29dbdec bf62248 29dbdec 255a121 29dbdec 131728e 57a04f6 131728e 57a04f6 131728e 57a04f6 131728e 57a04f6 131728e 57a04f6 131728e 57a04f6 131728e 57a04f6 131728e 57a04f6 131728e f95d001 131728e f95d001 29dbdec 255a121 bf62248 131728e bf62248 131728e bf62248 131728e bf62248 a7c5a97 bf62248 d51cc1f bf62248 131728e bf62248 131728e bf62248 a7c5a97 bf62248 131728e f95d001 bf62248 131728e 791970f ba29ad3 bf62248 131728e f95d001 131728e f95d001 131728e bf62248 131728e f95d001 131728e f95d001 131728e f95d001 bf62248 131728e bf62248 f95d001 bf62248 131728e 255a121 bf62248 131728e bf62248 131728e bf62248 131728e bf62248 131728e f95d001 131728e f95d001 131728e f95d001 131728e f95d001 131728e bf62248 131728e f95d001 bf62248 131728e bf62248 131728e bf62248 131728e bf62248 a645b1b bf62248 131728e bf62248 131728e bf62248 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 |
"""Gradio based ui for Copaint pdf generator.
"""
import gradio as gr
import shutil
import tempfile
import logging
import os
from gradio_pdf import PDF
from importlib.resources import files
from pathlib import Path
from copaint.copaint import image_to_pdf
import torchvision
import torch
# Configure logging
logging.basicConfig(
level=logging.INFO,
format='%(asctime)s - %(levelname)s - %(message)s',
datefmt='%Y-%m-%d %H:%M:%S'
)
logger = logging.getLogger(__name__)
fromPIltoTensor = torchvision.transforms.ToTensor()
fromTensortoPIL = torchvision.transforms.ToPILImage()
from PIL import Image
def load_with_transparency(image_file):
# Open manually to preserve RGBA
image = image_file #Image.open(image_file.name).convert("RGBA")
# Example: return image size and check mode
print( f"Image mode: {image.mode}, size: {image.size}")
logger.info(f"TRANSPARENCY MODE: {image.mode}")
# Convert transparency to white background
if image.mode in ("RGBA", "LA"):
background = Image.new("RGB", image.size, (255, 255, 255)) # white background
background.paste(image, mask=image.split()[-1]) # paste using alpha channel as mask
image = background
logger.info(f"TRANSPARENCY REMOVED WITH WHITE BACKGROUND")
else:
logger.info(f"TRANSPARENCY REMOVED")
image = image.convert("RGB") # just to be safe
return image # or continue processing
def add_grid_to_image(image, h_cells, w_cells):
# image is a torch tensor of shape (3, h, w)
image = image.convert("RGB")
image = fromPIltoTensor(image)
# Calculate average image brightness
avg_brightness = image.mean()
# Use white grid for dark images, dark blue for bright ones
grid_color = torch.tensor([255,255,255]).unsqueeze(1).unsqueeze(1) / 255.0 if avg_brightness < 0.3 else torch.tensor([16,15,46]).unsqueeze(1).unsqueeze(1) / 255.0
h,w = image.shape[1:]
thickness = max(min(1, int(min(h,w)/100)), 1)
logger.debug(f"thickness, h, w: {thickness}, {h}, {w}")
for i in range(h_cells+1):
idx_i = int(i*h/h_cells)
image[:, idx_i-thickness:idx_i+thickness, :] = grid_color
for j in range(w_cells+1):
idx_j = int(j*w/w_cells)
image[:, :, idx_j-thickness:idx_j+thickness] = grid_color
image = fromTensortoPIL(image)
return image
def get_canvas_ratio_message(image, h_cells, w_cells, language="en"):
w,h = image.size
aspect_ratio = w/h
if aspect_ratio > 1:
aspect_ratio = 1/aspect_ratio
# find nearest aspect ratio in the list of predefined ones
predefined_aspect_ratios = [1/3, 1/2, 2/3, 1/1, 5/6, 4/5, 5/7]
predefined_aspect_ratios_str = ["1:3", "1:2", "2:3", "1:1", "5:6", "4:5", "5:7"]
min_diff = float('inf')
closest_ratio_idx = None
for idx, ratio in enumerate(predefined_aspect_ratios):
diff = abs(aspect_ratio - ratio)
if diff < min_diff:
min_diff = diff
closest_ratio_idx = idx
closest_ratio_str = predefined_aspect_ratios_str[closest_ratio_idx]
if min_diff > 0.2:
return None
else:
example_str = ""
if language == "en":
if closest_ratio_str == "1:1":
if h_cells == 2 and h_cells == 2:
example_str = ", for example, a 6” by 6” canvas."
if h_cells == 3 and h_cells == 3:
example_str = ", for example, an 8” by 8” canvas."
elif closest_ratio_str == "5:6":
example_str = ", for example, a 10” by 12” canvas."
elif closest_ratio_str == "3:4":
if (h_cells == 3 and w_cells == 4) or (h_cells == 4 and w_cells == 3):
example_str = ", for example, a 6” by 8” canvas."
if (h_cells == 4 and w_cells == 6) or (h_cells == 6 and w_cells == 4):
example_str = ", for example, an 18” by 24”, or a 12” by 16” canvas."
elif closest_ratio_str == "2:3" and ((h_cells == 6 and w_cells == 9) or (h_cells == 9 and w_cells == 6)):
example_str = ", for example, a 24” by 36” canvas."
elif closest_ratio_str == "1:2":
example_str = ", for example, a 12” by 24” canvas."
elif language == "fr":
if closest_ratio_str == "1:1":
if h_cells == 2 and h_cells == 2:
example_str = ", par exemple, une toile de 15cmx15cm."
if h_cells == 3 and h_cells == 3:
example_str = ", par exemple, une toile de 15cmx15cm ou 20cmx20cm."
elif closest_ratio_str == "5:6":
if h_cells == 6 and w_cells == 9:
example_str = ", par exemple, une toile de 60cmx90cm."
if h_cells == 9 and w_cells == 6:
example_str = ", par exemple, une toile de 90cmx60cm."
elif closest_ratio_str == "4:5":
if h_cells == 4 and w_cells == 6:
example_str = ", par exemple, une toile de 15cmx20cm."
if h_cells == 6 and w_cells == 4:
example_str = ", par exemple, une toile de 45cmx60cm ou 30cmx40cm."
elif closest_ratio_str == "2:3" and ((h_cells == 6 and w_cells == 9) or (h_cells == 9 and w_cells == 6)):
example_str = ", par exemple, une toile de 60cmx90cm."
elif closest_ratio_str == "1:2":
example_str = ", par exemple, une toile de 30cmx60cm."
if language == "en":
return_str = f"You have selected a <b>{h_cells}x{w_cells} Grid ({h_cells*w_cells} squares)</b>.\n\n"
return_str += f"Preparing your canvas: <b>choose a canvas with a {closest_ratio_str} size ratio</b> to match your design's ({w} x {h} pixels){example_str}"
else:
return_str = f"Vous avez choisi un découpage de {h_cells} par {w_cells} ({h_cells*w_cells} tuiles).\n\n"
return_str += f"Choix de la toile: prenez une toile dont le rapport largeur sur longueur est de <b>{closest_ratio_str}</b> pour respecter la taille de votre design ({w}x{h} pixels){example_str}"
print(f"return_str: {return_str}")
return f"<div style='font-size: 1.2em; line-height: 1.5;'>{return_str}</div>"
def add_grid_and_display_ratio(image, h_cells, w_cells, language="en"):
if image is None:
return None, gr.update(visible=False)
return add_grid_to_image(image, h_cells, w_cells), gr.update(visible=True, value=get_canvas_ratio_message(image, h_cells, w_cells, language))
def process_copaint(
input_image,
h_cells=None,
w_cells=None,
a4=False,
high_res=False,
cell_size_in_cm=None,
min_cell_size_in_cm=2,
copaint_name="",
copaint_logo=None,
language="en"
):
"""Process the input and generate Copaint PDF"""
# Create temporary directories for processing
# Use /dev/shm if available for better performance
if os.path.exists('/dev/shm'):
temp_input_dir = tempfile.mkdtemp(dir='/dev/shm')
temp_output_dir = tempfile.mkdtemp(dir='/dev/shm')
else:
temp_input_dir = tempfile.mkdtemp()
temp_output_dir = tempfile.mkdtemp()
try:
# Save uploaded images to temp directory
input_path = Path(temp_input_dir) / "input_image.png"
input_image.save(input_path)
logo_path = None
if copaint_logo is not None:
logo_path = Path(temp_input_dir) / "logo.png"
copaint_logo.save(logo_path)
else:
# Use default logo path from the package
logo_path = files("copaint.static") / "logo_copaint.png"
if copaint_name == "" or copaint_name is None:
from copaint.cli import default_identifier
copaint_name = default_identifier(language=language)
if a4 == "A4":
a4 = True
else:
a4 = False
# Generate the PDF
pdf_path = image_to_pdf(
input_image=str(input_path),
logo_image=str(logo_path),
outputfolder=temp_output_dir,
h_cells=h_cells,
w_cells=w_cells,
unique_identifier=copaint_name,
cell_size_in_cm=cell_size_in_cm,
a4=a4,
high_res=high_res,
min_cell_size_in_cm=min_cell_size_in_cm
)
return pdf_path, None # Return path and no error
except Exception as e:
# Return error message
return None, f"Error generating PDF: {str(e)}"
finally:
# Clean up temporary input directory
shutil.rmtree(temp_input_dir)
def build_gradio_ui(language="en"):
# Create Gradio Interface
with gr.Blocks(title="Copaint Generator", theme='NoCrypt/miku') as demo:
if language == "en":
gr.Markdown("# 🤖 Copaint Generator")
gr.Markdown("Upload an image, set grid parameters, and we generate your Copaint PDF 🖨️📄✂️ for your next collaborative painting activity. 🎨🖌️")
elif language == "fr":
gr.Markdown("# 🤖 Générateur de Copaint")
gr.Markdown("Téléchargez une image, définissez les paramètres de découpage et on vous génère votre PDF Copaint 🖨️📄✂️ pour votre prochaine activité de peinture collaborative. 🎨🖌️")
# --- inputs ---
with gr.Row(equal_height=True):
# Upload Design Template
with gr.Column(scale=2):
if language == "en":
label_input_image = "Upload Your Design"
elif language == "fr":
label_input_image = "Déposer votre image"
input_image = gr.Image(type="pil", image_mode="RGBA", label=label_input_image)
input_image.upload(
fn=load_with_transparency,
inputs=input_image,
outputs=input_image
)
with gr.Column(scale=1):
# Grid
if language == "en":
label_grid_layout = "Grid Layout"
elif language == "fr":
label_grid_layout = "Découpage"
with gr.Tab(label_grid_layout):
if language == "en":
gr.Markdown("<div style='text-align: left; font-weight: bold;'>Squares' Grid</div>")
w_cells = gr.Number(label="↔ (width)", value=4, precision=0)
h_cells = gr.Number(label=" by ↕ (heigth)", value=6, precision=0)
language_gr_state = gr.State("en")
elif language == "fr":
gr.Markdown("<div style='text-align: center; font-weight: bold;'>Découpage (nombre de tuiles)</div>")
w_cells = gr.Number(label="↔ (largeur)", value=4, precision=0)
h_cells = gr.Number(label=" par ↕ (hauteur)", value=6, precision=0)
language_gr_state = gr.State("fr")
examples_labels_en = [
"Copaint Wedding 6x9 Grid (54 squares)",
"Copaint Classic 4x6 Grid (24 squares)",
"Copaint Mini 3x3 Grid (9 squares)",
"Copaint Mini 3x4 Grid (12 squares)",
"Copaint Mini 2x2 Grid (4 squares)"
]
examples_labels_fr = [
"Copaint Mariage 6 par 9 tuiles (54 tuiles)",
"Copaint Classique 4 par 6 tuiles (24 tuiles)",
"Copaint Mini 3 par 3 tuiles (9 tuiles)",
"Copaint Mini 3 par 4 tuiles (12 tuiles)",
"Copaint Mini 2 par 2 tuiles (4 tuiles)"
]
if language == "en":
example_labels = examples_labels_en
label_example = "Examples"
elif language == "fr":
example_labels = examples_labels_fr
label_example = "Exemples"
gr.Examples(
examples=[
[6, 9],
[4, 6],
[3, 3],
[3, 4],
[2, 2]
],
example_labels=example_labels,
inputs=[w_cells, h_cells],
label=label_example
)
# Grid + Design preview
if language == "en":
gr.Markdown("<div style='text-align: center; font-weight: bold;'>Preview</div>")
elif language == "fr":
gr.Markdown("<div style='text-align: center; font-weight: bold;'>Aperçu</div>")
output_image = gr.Image(label=None, show_label=False, show_fullscreen_button=False, interactive=False, show_download_button=False)
# canvas ratio message
if language == "en":
canvas_msg_label = "Canvas Ratio"
elif language == "fr":
canvas_msg_label = "Aspect Ratio"
canvas_msg = gr.Markdown(label=canvas_msg_label, visible=False)
# PDF options
if language == "en":
label_pdf_options = "PDF Printing Options"
elif language == "fr":
label_pdf_options = "Options d'impression"
with gr.Tab(label_pdf_options):
if language == "en":
use_a4 = gr.Dropdown(choices=["US letter", "A4"], label="Paper Format", value="US letter")
elif language == "fr":
use_a4 = gr.Dropdown(choices=["A4", "US letter"], label="Format de papier", value="A4")
if language == "en":
label_advanced_settings = "Advanced settings (optional)"
elif language == "fr":
label_advanced_settings = "Options avancées (optionnel)"
with gr.Accordion(label_advanced_settings, open=False):
with gr.Row():
with gr.Column(scale=1):
if language == "en":
high_res = gr.Checkbox(label="High Resolution Mode (>20sec long processing)")
cell_size = gr.Number(label="Square Size, in cm (optional)",
value="",
info="If none is provided, the design size automatically adjusts to fit on a single page. In most situations, you don't need this.")
copaint_name = gr.Textbox(label="Add a Custom Design Name (optional)",
value="",
max_length=10,
info="You can add a custom design name: it will appear on the back of each square, in the top left corner.")
copaint_logo = gr.Image(type="pil",
label="Add a Custom Logo (optional)")
gr.Markdown(
"<div style='font-size: 0.85em;'>"
"You can add a custom logo: it will appear on the back of each square, in the bottom right corner."
"</div>")
elif language == "fr":
high_res = gr.Checkbox(label="Mode haute résolution (plus de 20 secondes de traitement)")
cell_size = gr.Number(label="Taille des tuiles, en cm (optionnel)",
value="",
info="Si elle n'est pas spécifiée, la hauteur des tuiles est automatiquement calculée afin que votre impression tienne sur une seule page, recto-verso.")
copaint_name = gr.Textbox(label="Ajouter un nom personnalisé à votre design (optionnel)",
value="",
max_length=10,
info="Vous pouvez ajouter un nom personnalisé: : il apparaîtra au dos de chaque tuile, en haut à gauche.")
copaint_logo = gr.Image(type="pil",
label="Ajouter un logo personnalisé (optionnel)")
gr.Markdown(
"<div style='font-size: 0.85em;'>"
"Vous pouvez ajouter un logo personnalisé: il apparaîtra au dos de chaque tuile, en bas à droite."
"</div>")
# --- outputs ---
with gr.Row():
# PDF
with gr.Column(scale=1):
if language == "en":
submit_btn = gr.Button("Generate Copaint PDF", variant="primary")
elif language == "fr":
submit_btn = gr.Button("Générer mon PDF Copaint", variant="primary")
with gr.Row():
with gr.Column(scale=1):
if language == "en":
output_file = gr.File(label="Download PDF", visible=False, interactive=False)
elif language == "fr":
output_file = gr.File(label="Télécharger le PDF", visible=False, interactive=False)
with gr.Column(scale=1):
if language == "en":
output_error_msg = gr.Textbox(label="Error Message", visible=False)
elif language == "fr":
output_error_msg = gr.Textbox(label="Message d'erreur", visible=False)
with gr.Row():
with gr.Column(scale=1):
if language == "en":
output_pdf = PDF(label="PDF Preview")#, show_label=False, show_fullscreen_button=False, interactive=False, show_download_button=False)
elif language == "fr":
output_pdf = PDF(label="Aperçu du PDF")#, show_label=False, show_fullscreen_button=False, interactive=False, show_download_button=False)
# Update output_image: trigger update when any input changes
for component in [input_image, h_cells, w_cells]:
component.change(
fn=add_grid_and_display_ratio,
inputs=[input_image, h_cells, w_cells, language_gr_state],
outputs=[output_image, canvas_msg]
)
# Submit function: generate pdf
def on_submit(input_image, h_cells, w_cells, use_a4, high_res, cell_size, copaint_name, copaint_logo):
if input_image is None:
return None, None, gr.update(visible=True, value="Please upload an image first 👀")
if cell_size is None or cell_size == "" or cell_size == 0:
cell_size = None
pdf_path, error = process_copaint(
input_image=input_image,
h_cells=int(h_cells),
w_cells=int(w_cells),
a4=use_a4,
high_res=high_res,
cell_size_in_cm=cell_size if cell_size else None,
min_cell_size_in_cm=float(2),
copaint_name=copaint_name,
copaint_logo=copaint_logo,
language=language
)
if error:
# Show error message
return None, None, gr.update(visible=True, value=error)
else:
# Show successful PDF
return pdf_path, gr.update(visible=True, value=pdf_path, interactive=False), gr.update(visible=False)
submit_btn.click(
on_submit,
inputs=[input_image, h_cells, w_cells, use_a4, high_res, cell_size, copaint_name, copaint_logo],
outputs=[output_pdf, output_file, output_error_msg]
)
return demo
|