Spaces:
Sleeping
Sleeping
File size: 40,783 Bytes
f4ec5ac |
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757 758 759 760 761 762 763 |
{
"cells": [
{
"cell_type": "markdown",
"id": "09eb5ef2",
"metadata": {},
"source": [
"#### Gradio Comparing Transfer Learning Models"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "f3f83569",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2.12.0\n"
]
}
],
"source": [
"import tensorflow as tf\n",
"print(tf.__version__)"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "c1ca8b20",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Collecting gradio==1.6.0\n",
" Downloading gradio-1.6.0-py3-none-any.whl (1.1 MB)\n",
" 0.0/1.1 MB ? eta -:--:--\n",
" ---- 0.1/1.1 MB 3.2 MB/s eta 0:00:01\n",
" ------------ 0.3/1.1 MB 4.2 MB/s eta 0:00:01\n",
" ---------------------- 0.6/1.1 MB 5.6 MB/s eta 0:00:01\n",
" ------------------------------- 0.9/1.1 MB 5.6 MB/s eta 0:00:01\n",
" ------------------------------------- 1.0/1.1 MB 5.1 MB/s eta 0:00:01\n",
" ------------------------------------- 1.0/1.1 MB 5.1 MB/s eta 0:00:01\n",
" ---------------------------------------- 1.1/1.1 MB 3.8 MB/s eta 0:00:00\n",
"Requirement already satisfied: numpy in c:\\users\\user\\anaconda3\\lib\\site-packages (from gradio==1.6.0) (1.24.3)\n",
"Requirement already satisfied: requests in c:\\users\\user\\anaconda3\\lib\\site-packages (from gradio==1.6.0) (2.28.1)\n",
"Requirement already satisfied: Flask>=1.1.1 in c:\\users\\user\\anaconda3\\lib\\site-packages (from gradio==1.6.0) (2.1.2)\n",
"Requirement already satisfied: Flask-Cors>=3.0.8 in c:\\users\\user\\anaconda3\\lib\\site-packages (from gradio==1.6.0) (3.0.10)\n",
"Collecting flask-cachebuster (from gradio==1.6.0)\n",
" Downloading Flask-CacheBuster-1.0.0.tar.gz (3.1 kB)\n",
" Preparing metadata (setup.py): started\n",
" Preparing metadata (setup.py): finished with status 'done'\n",
"Requirement already satisfied: Flask-BasicAuth in c:\\users\\user\\anaconda3\\lib\\site-packages (from gradio==1.6.0) (0.2.0)\n",
"Requirement already satisfied: paramiko in c:\\users\\user\\anaconda3\\lib\\site-packages (from gradio==1.6.0) (2.8.1)\n",
"Requirement already satisfied: scipy in c:\\users\\user\\anaconda3\\lib\\site-packages (from gradio==1.6.0) (1.10.0)\n",
"Requirement already satisfied: IPython in c:\\users\\user\\anaconda3\\lib\\site-packages (from gradio==1.6.0) (8.10.0)\n",
"Requirement already satisfied: scikit-image in c:\\users\\user\\anaconda3\\lib\\site-packages (from gradio==1.6.0) (0.19.3)\n",
"Collecting analytics-python (from gradio==1.6.0)\n",
" Downloading analytics_python-1.4.post1-py2.py3-none-any.whl (23 kB)\n",
"Requirement already satisfied: pandas in c:\\users\\user\\anaconda3\\lib\\site-packages (from gradio==1.6.0) (1.5.3)\n",
"Requirement already satisfied: ffmpy in c:\\users\\user\\anaconda3\\lib\\site-packages (from gradio==1.6.0) (0.3.0)\n",
"Collecting markdown2 (from gradio==1.6.0)\n",
" Downloading markdown2-2.4.8-py2.py3-none-any.whl (38 kB)\n",
"Requirement already satisfied: Werkzeug>=2.0 in c:\\users\\user\\anaconda3\\lib\\site-packages (from Flask>=1.1.1->gradio==1.6.0) (2.3.4)\n",
"Requirement already satisfied: Jinja2>=3.0 in c:\\users\\user\\anaconda3\\lib\\site-packages (from Flask>=1.1.1->gradio==1.6.0) (3.1.2)\n",
"Requirement already satisfied: itsdangerous>=2.0 in c:\\users\\user\\anaconda3\\lib\\site-packages (from Flask>=1.1.1->gradio==1.6.0) (2.1.2)\n",
"Requirement already satisfied: click>=8.0 in c:\\users\\user\\anaconda3\\lib\\site-packages (from Flask>=1.1.1->gradio==1.6.0) (8.1.3)\n",
"Requirement already satisfied: Six in c:\\users\\user\\anaconda3\\lib\\site-packages (from Flask-Cors>=3.0.8->gradio==1.6.0) (1.16.0)\n",
"Collecting monotonic>=1.5 (from analytics-python->gradio==1.6.0)\n",
" Downloading monotonic-1.6-py2.py3-none-any.whl (8.2 kB)\n",
"Collecting backoff==1.10.0 (from analytics-python->gradio==1.6.0)\n",
" Downloading backoff-1.10.0-py2.py3-none-any.whl (31 kB)\n",
"Requirement already satisfied: python-dateutil>2.1 in c:\\users\\user\\anaconda3\\lib\\site-packages (from analytics-python->gradio==1.6.0) (2.8.2)\n",
"Requirement already satisfied: charset-normalizer<3,>=2 in c:\\users\\user\\anaconda3\\lib\\site-packages (from requests->gradio==1.6.0) (2.0.4)\n",
"Requirement already satisfied: idna<4,>=2.5 in c:\\users\\user\\anaconda3\\lib\\site-packages (from requests->gradio==1.6.0) (3.4)\n",
"Requirement already satisfied: urllib3<1.27,>=1.21.1 in c:\\users\\user\\anaconda3\\lib\\site-packages (from requests->gradio==1.6.0) (1.26.14)\n",
"Requirement already satisfied: certifi>=2017.4.17 in c:\\users\\user\\anaconda3\\lib\\site-packages (from requests->gradio==1.6.0) (2022.12.7)\n",
"Requirement already satisfied: backcall in c:\\users\\user\\anaconda3\\lib\\site-packages (from IPython->gradio==1.6.0) (0.2.0)\n",
"Requirement already satisfied: decorator in c:\\users\\user\\anaconda3\\lib\\site-packages (from IPython->gradio==1.6.0) (5.1.1)\n",
"Requirement already satisfied: jedi>=0.16 in c:\\users\\user\\anaconda3\\lib\\site-packages (from IPython->gradio==1.6.0) (0.18.1)\n",
"Requirement already satisfied: matplotlib-inline in c:\\users\\user\\anaconda3\\lib\\site-packages (from IPython->gradio==1.6.0) (0.1.6)\n",
"Requirement already satisfied: pickleshare in c:\\users\\user\\anaconda3\\lib\\site-packages (from IPython->gradio==1.6.0) (0.7.5)\n",
"Requirement already satisfied: prompt-toolkit<3.1.0,>=3.0.30 in c:\\users\\user\\anaconda3\\lib\\site-packages (from IPython->gradio==1.6.0) (3.0.36)\n",
"Requirement already satisfied: pygments>=2.4.0 in c:\\users\\user\\anaconda3\\lib\\site-packages (from IPython->gradio==1.6.0) (2.15.1)\n",
"Requirement already satisfied: stack-data in c:\\users\\user\\anaconda3\\lib\\site-packages (from IPython->gradio==1.6.0) (0.2.0)\n",
"Requirement already satisfied: traitlets>=5 in c:\\users\\user\\anaconda3\\lib\\site-packages (from IPython->gradio==1.6.0) (5.7.1)\n",
"Requirement already satisfied: colorama in c:\\users\\user\\anaconda3\\lib\\site-packages (from IPython->gradio==1.6.0) (0.4.6)\n",
"Requirement already satisfied: pytz>=2020.1 in c:\\users\\user\\anaconda3\\lib\\site-packages (from pandas->gradio==1.6.0) (2022.7)\n",
"Requirement already satisfied: bcrypt>=3.1.3 in c:\\users\\user\\anaconda3\\lib\\site-packages (from paramiko->gradio==1.6.0) (3.2.0)\n",
"Requirement already satisfied: cryptography>=2.5 in c:\\users\\user\\anaconda3\\lib\\site-packages (from paramiko->gradio==1.6.0) (39.0.1)\n",
"Requirement already satisfied: pynacl>=1.0.1 in c:\\users\\user\\anaconda3\\lib\\site-packages (from paramiko->gradio==1.6.0) (1.5.0)\n",
"Requirement already satisfied: networkx>=2.2 in c:\\users\\user\\anaconda3\\lib\\site-packages (from scikit-image->gradio==1.6.0) (2.8.4)\n",
"Requirement already satisfied: pillow!=7.1.0,!=7.1.1,!=8.3.0,>=6.1.0 in c:\\users\\user\\anaconda3\\lib\\site-packages (from scikit-image->gradio==1.6.0) (9.4.0)\n",
"Requirement already satisfied: imageio>=2.4.1 in c:\\users\\user\\anaconda3\\lib\\site-packages (from scikit-image->gradio==1.6.0) (2.26.0)\n",
"Requirement already satisfied: tifffile>=2019.7.26 in c:\\users\\user\\anaconda3\\lib\\site-packages (from scikit-image->gradio==1.6.0) (2021.7.2)\n",
"Requirement already satisfied: PyWavelets>=1.1.1 in c:\\users\\user\\anaconda3\\lib\\site-packages (from scikit-image->gradio==1.6.0) (1.4.1)\n",
"Requirement already satisfied: packaging>=20.0 in c:\\users\\user\\anaconda3\\lib\\site-packages (from scikit-image->gradio==1.6.0) (22.0)\n",
"Requirement already satisfied: cffi>=1.1 in c:\\users\\user\\anaconda3\\lib\\site-packages (from bcrypt>=3.1.3->paramiko->gradio==1.6.0) (1.15.1)\n",
"Requirement already satisfied: parso<0.9.0,>=0.8.0 in c:\\users\\user\\anaconda3\\lib\\site-packages (from jedi>=0.16->IPython->gradio==1.6.0) (0.8.3)\n",
"Requirement already satisfied: MarkupSafe>=2.0 in c:\\users\\user\\anaconda3\\lib\\site-packages (from Jinja2>=3.0->Flask>=1.1.1->gradio==1.6.0) (2.1.1)\n",
"Requirement already satisfied: wcwidth in c:\\users\\user\\anaconda3\\lib\\site-packages (from prompt-toolkit<3.1.0,>=3.0.30->IPython->gradio==1.6.0) (0.2.5)\n",
"Requirement already satisfied: executing in c:\\users\\user\\anaconda3\\lib\\site-packages (from stack-data->IPython->gradio==1.6.0) (0.8.3)\n",
"Requirement already satisfied: asttokens in c:\\users\\user\\anaconda3\\lib\\site-packages (from stack-data->IPython->gradio==1.6.0) (2.0.5)\n",
"Requirement already satisfied: pure-eval in c:\\users\\user\\anaconda3\\lib\\site-packages (from stack-data->IPython->gradio==1.6.0) (0.2.2)\n",
"Requirement already satisfied: pycparser in c:\\users\\user\\anaconda3\\lib\\site-packages (from cffi>=1.1->bcrypt>=3.1.3->paramiko->gradio==1.6.0) (2.21)\n",
"Building wheels for collected packages: flask-cachebuster\n",
" Building wheel for flask-cachebuster (setup.py): started\n",
" Building wheel for flask-cachebuster (setup.py): finished with status 'done'\n",
" Created wheel for flask-cachebuster: filename=Flask_CacheBuster-1.0.0-py3-none-any.whl size=3372 sha256=c1b85a8b017ca7784ce61eec4714ca9dd7e500dc251835ef6f9820731268b2c5\n",
" Stored in directory: c:\\users\\user\\appdata\\local\\pip\\cache\\wheels\\22\\35\\5e\\088242cb16f309a4ff4e94ce97f1ef8a469983fdde92b45f50\n",
"Successfully built flask-cachebuster\n",
"Installing collected packages: monotonic, markdown2, backoff, analytics-python, flask-cachebuster, gradio\n",
" Attempting uninstall: gradio\n",
" Found existing installation: gradio 3.33.1\n",
" Uninstalling gradio-3.33.1:\n",
" Successfully uninstalled gradio-3.33.1\n",
"Successfully installed analytics-python-1.4.post1 backoff-1.10.0 flask-cachebuster-1.0.0 gradio-1.6.0 markdown2-2.4.8 monotonic-1.6\n",
"Note: you may need to restart the kernel to use updated packages.\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"WARNING: Ignoring invalid distribution -orch (c:\\users\\user\\anaconda3\\lib\\site-packages)\n",
"WARNING: Ignoring invalid distribution -rotobuf (c:\\users\\user\\anaconda3\\lib\\site-packages)\n",
"WARNING: Ignoring invalid distribution -orch (c:\\users\\user\\anaconda3\\lib\\site-packages)\n",
"WARNING: Ignoring invalid distribution -rotobuf (c:\\users\\user\\anaconda3\\lib\\site-packages)\n"
]
}
],
"source": [
"pip install gradio==1.6.0"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "70ec40a3",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Collecting MarkupSafe==2.1.1\n",
" Downloading MarkupSafe-2.1.1-cp310-cp310-win_amd64.whl (17 kB)\n",
"Installing collected packages: MarkupSafe\n",
" Attempting uninstall: MarkupSafe\n",
" Found existing installation: MarkupSafe 2.0.1\n",
" Uninstalling MarkupSafe-2.0.1:\n",
" Successfully uninstalled MarkupSafe-2.0.1\n",
"Note: you may need to restart the kernel to use updated packages.\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"WARNING: Ignoring invalid distribution -orch (c:\\users\\user\\anaconda3\\lib\\site-packages)\n",
"WARNING: Ignoring invalid distribution -rotobuf (c:\\users\\user\\anaconda3\\lib\\site-packages)\n",
"WARNING: Ignoring invalid distribution -orch (c:\\users\\user\\anaconda3\\lib\\site-packages)\n",
"WARNING: Ignoring invalid distribution -rotobuf (c:\\users\\user\\anaconda3\\lib\\site-packages)\n",
"ERROR: Could not install packages due to an OSError: [WinError 5] Access is denied: 'C:\\\\Users\\\\User\\\\anaconda3\\\\Lib\\\\site-packages\\\\~arkupsafe\\\\_speedups.cp310-win_amd64.pyd'\n",
"Consider using the `--user` option or check the permissions.\n",
"\n"
]
}
],
"source": [
"pip install MarkupSafe==2.1.1"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "961a6510",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"C:\\Users\\User\\anaconda3\\lib\\site-packages\\paramiko\\transport.py:219: CryptographyDeprecationWarning: Blowfish has been deprecated\n",
" \"class\": algorithms.Blowfish,\n"
]
}
],
"source": [
"import gradio as gr\n",
"import tensorflow as tf\n",
"import numpy as np\n",
"from PIL import Image\n",
"import requests\n",
"\n",
"\n",
"# Download human-readable labels for ImageNet.\n",
"response = requests.get(\"https://git.io/JJkYN\")\n",
"labels = response.text.split(\"\\n\")\n",
"\n",
"mobile_net = tf.keras.applications.MobileNetV2()\n",
"inception_net = tf.keras.applications.InceptionV3()\n"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "44d83e7d",
"metadata": {},
"outputs": [],
"source": [
"def classify_image_with_mobile_net(im):\n",
" im = Image.fromarray(im.astype('uint8'), 'RGB')\n",
" im = im.resize((224, 224))\n",
" arr = np.array(im).reshape((-1, 224, 224, 3))\n",
" arr = tf.keras.applications.mobilenet.preprocess_input(arr)\n",
" prediction = mobile_net.predict(arr).flatten()\n",
" return {labels[i]: float(prediction[i]) for i in range(1000)}\n",
" "
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "5e77912e",
"metadata": {},
"outputs": [],
"source": [
"def classify_image_with_inception_net(im):\n",
" # Resize the image to\n",
" im = Image.fromarray(im.astype('uint8'), 'RGB')\n",
" im = im.resize((299, 299))\n",
" arr = np.array(im).reshape((-1, 299, 299, 3))\n",
" arr = tf.keras.applications.inception_v3.preprocess_input(arr)\n",
" prediction = inception_net.predict(arr).flatten()\n",
" return {labels[i]: float(prediction[i]) for i in range(1000)}"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "f6a9e5fe",
"metadata": {},
"outputs": [],
"source": [
"imagein = gr.inputs.Image()\n",
"label = gr.outputs.Label(num_top_classes=3)\n",
"sample_images = [\n",
" [\"monkey.jpg\"],\n",
" [\"sailboat.jpg\"],\n",
" [\"bicycle.jpg\"],\n",
" [\"download.jpg\"],\n",
"]"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "61c325d0",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"IMPORTANT: You are using gradio version 1.6.0, however version 3.14.0 is available, please upgrade.\n",
"--------\n",
"Running locally at: http://127.0.0.1:7861/\n",
"To create a public link, set `share=True` in `launch()`.\n",
"Interface loading below...\n"
]
},
{
"data": {
"text/html": [
"\n",
" <iframe\n",
" width=\"1000\"\n",
" height=\"500\"\n",
" src=\"http://127.0.0.1:7861/\"\n",
" frameborder=\"0\"\n",
" allowfullscreen\n",
" \n",
" ></iframe>\n",
" "
],
"text/plain": [
"<IPython.lib.display.IFrame at 0x1f4f8fe2830>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"[2023-06-05 22:40:39,347] ERROR in app: Exception on /file/monkey.jpg [GET]\n",
"Traceback (most recent call last):\n",
" File \"C:\\Users\\User\\anaconda3\\lib\\site-packages\\flask\\app.py\", line 2077, in wsgi_app\n",
" response = self.full_dispatch_request()\n",
" File \"C:\\Users\\User\\anaconda3\\lib\\site-packages\\flask\\app.py\", line 1525, in full_dispatch_request\n",
" rv = self.handle_user_exception(e)\n",
" File \"C:\\Users\\User\\anaconda3\\lib\\site-packages\\flask_cors\\extension.py\", line 165, in wrapped_function\n",
" return cors_after_request(app.make_response(f(*args, **kwargs)))\n",
" File \"C:\\Users\\User\\anaconda3\\lib\\site-packages\\flask\\app.py\", line 1523, in full_dispatch_request\n",
" rv = self.dispatch_request()\n",
" File \"C:\\Users\\User\\anaconda3\\lib\\site-packages\\flask\\app.py\", line 1509, in dispatch_request\n",
" return self.ensure_sync(self.view_functions[rule.endpoint])(**req.view_args)\n",
" File \"C:\\Users\\User\\anaconda3\\lib\\site-packages\\gradio\\networking.py\", line 269, in file\n",
" return send_file(os.path.join(app.cwd, path))\n",
" File \"C:\\Users\\User\\anaconda3\\lib\\site-packages\\flask\\helpers.py\", line 610, in send_file\n",
" return werkzeug.utils.send_file(\n",
" File \"C:\\Users\\User\\anaconda3\\lib\\site-packages\\werkzeug\\utils.py\", line 427, in send_file\n",
" stat = os.stat(path)\n",
"FileNotFoundError: [WinError 2] The system cannot find the file specified: 'C:\\\\Users\\\\User\\\\Downloads\\\\monkey.jpg'\n",
"[2023-06-05 22:40:39,356] ERROR in app: Exception on /file/sailboat.jpg [GET]\n",
"Traceback (most recent call last):\n",
" File \"C:\\Users\\User\\anaconda3\\lib\\site-packages\\flask\\app.py\", line 2077, in wsgi_app\n",
" response = self.full_dispatch_request()\n",
" File \"C:\\Users\\User\\anaconda3\\lib\\site-packages\\flask\\app.py\", line 1525, in full_dispatch_request\n",
" rv = self.handle_user_exception(e)\n",
" File \"C:\\Users\\User\\anaconda3\\lib\\site-packages\\flask_cors\\extension.py\", line 165, in wrapped_function\n",
" return cors_after_request(app.make_response(f(*args, **kwargs)))\n",
" File \"C:\\Users\\User\\anaconda3\\lib\\site-packages\\flask\\app.py\", line 1523, in full_dispatch_request\n",
" rv = self.dispatch_request()\n",
" File \"C:\\Users\\User\\anaconda3\\lib\\site-packages\\flask\\app.py\", line 1509, in dispatch_request\n",
" return self.ensure_sync(self.view_functions[rule.endpoint])(**req.view_args)\n",
" File \"C:\\Users\\User\\anaconda3\\lib\\site-packages\\gradio\\networking.py\", line 269, in file\n",
" return send_file(os.path.join(app.cwd, path))\n",
" File \"C:\\Users\\User\\anaconda3\\lib\\site-packages\\flask\\helpers.py\", line 610, in send_file\n",
" return werkzeug.utils.send_file(\n",
" File \"C:\\Users\\User\\anaconda3\\lib\\site-packages\\werkzeug\\utils.py\", line 427, in send_file\n",
" stat = os.stat(path)\n",
"FileNotFoundError: [WinError 2] The system cannot find the file specified: 'C:\\\\Users\\\\User\\\\Downloads\\\\sailboat.jpg'\n",
"[2023-06-05 22:40:39,357] ERROR in app: Exception on /file/bicycle.jpg [GET]\n",
"Traceback (most recent call last):\n",
" File \"C:\\Users\\User\\anaconda3\\lib\\site-packages\\flask\\app.py\", line 2077, in wsgi_app\n",
" response = self.full_dispatch_request()\n",
" File \"C:\\Users\\User\\anaconda3\\lib\\site-packages\\flask\\app.py\", line 1525, in full_dispatch_request\n",
" rv = self.handle_user_exception(e)\n",
" File \"C:\\Users\\User\\anaconda3\\lib\\site-packages\\flask_cors\\extension.py\", line 165, in wrapped_function\n",
" return cors_after_request(app.make_response(f(*args, **kwargs)))\n",
" File \"C:\\Users\\User\\anaconda3\\lib\\site-packages\\flask\\app.py\", line 1523, in full_dispatch_request\n",
" rv = self.dispatch_request()\n",
" File \"C:\\Users\\User\\anaconda3\\lib\\site-packages\\flask\\app.py\", line 1509, in dispatch_request\n",
" return self.ensure_sync(self.view_functions[rule.endpoint])(**req.view_args)\n",
" File \"C:\\Users\\User\\anaconda3\\lib\\site-packages\\gradio\\networking.py\", line 269, in file\n",
" return send_file(os.path.join(app.cwd, path))\n",
" File \"C:\\Users\\User\\anaconda3\\lib\\site-packages\\flask\\helpers.py\", line 610, in send_file\n",
" return werkzeug.utils.send_file(\n",
" File \"C:\\Users\\User\\anaconda3\\lib\\site-packages\\werkzeug\\utils.py\", line 427, in send_file\n",
" stat = os.stat(path)\n",
"FileNotFoundError: [WinError 2] The system cannot find the file specified: 'C:\\\\Users\\\\User\\\\Downloads\\\\bicycle.jpg'\n"
]
},
{
"data": {
"text/plain": [
"(<Flask 'gradio.networking'>, 'http://127.0.0.1:7861/', None)"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"gr.Interface(\n",
" [classify_image_with_mobile_net, classify_image_with_inception_net],\n",
" imagein,\n",
" label,\n",
" title=\"MobileNet vs. InceptionNet\",\n",
" description=\"\"\"Let's compare 2 state-of-the-art machine learning models that classify images into one of 1,000 categories: MobileNet (top),\n",
" a lightweight model that has an accuracy of 0.704, vs. InceptionNet\n",
" (bottom), a much heavier model that has an accuracy of 0.779.\"\"\",\n",
" examples=sample_images).launch()"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "3dbc1cab",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Requirement already satisfied: transformers in c:\\users\\user\\anaconda3\\lib\\site-packages (4.27.0)\n",
"Requirement already satisfied: filelock in c:\\users\\user\\anaconda3\\lib\\site-packages (from transformers) (3.12.0)\n",
"Requirement already satisfied: huggingface-hub<1.0,>=0.11.0 in c:\\users\\user\\anaconda3\\lib\\site-packages (from transformers) (0.14.1)\n",
"Requirement already satisfied: numpy>=1.17 in c:\\users\\user\\anaconda3\\lib\\site-packages (from transformers) (1.24.3)\n",
"Requirement already satisfied: packaging>=20.0 in c:\\users\\user\\anaconda3\\lib\\site-packages (from transformers) (22.0)\n",
"Requirement already satisfied: pyyaml>=5.1 in c:\\users\\user\\anaconda3\\lib\\site-packages (from transformers) (6.0)\n",
"Requirement already satisfied: regex!=2019.12.17 in c:\\users\\user\\anaconda3\\lib\\site-packages (from transformers) (2022.7.9)\n",
"Requirement already satisfied: requests in c:\\users\\user\\anaconda3\\lib\\site-packages (from transformers) (2.28.1)\n",
"Requirement already satisfied: tokenizers!=0.11.3,<0.14,>=0.11.1 in c:\\users\\user\\anaconda3\\lib\\site-packages (from transformers) (0.11.4)\n",
"Requirement already satisfied: tqdm>=4.27 in c:\\users\\user\\anaconda3\\lib\\site-packages (from transformers) (4.64.1)\n",
"Requirement already satisfied: fsspec in c:\\users\\user\\anaconda3\\lib\\site-packages (from huggingface-hub<1.0,>=0.11.0->transformers) (2022.11.0)\n",
"Requirement already satisfied: typing-extensions>=3.7.4.3 in c:\\users\\user\\anaconda3\\lib\\site-packages (from huggingface-hub<1.0,>=0.11.0->transformers) (4.4.0)\n",
"Requirement already satisfied: colorama in c:\\users\\user\\anaconda3\\lib\\site-packages (from tqdm>=4.27->transformers) (0.4.6)\n",
"Requirement already satisfied: charset-normalizer<3,>=2 in c:\\users\\user\\anaconda3\\lib\\site-packages (from requests->transformers) (2.0.4)\n",
"Requirement already satisfied: idna<4,>=2.5 in c:\\users\\user\\anaconda3\\lib\\site-packages (from requests->transformers) (3.4)\n",
"Requirement already satisfied: urllib3<1.27,>=1.21.1 in c:\\users\\user\\anaconda3\\lib\\site-packages (from requests->transformers) (1.26.14)\n",
"Requirement already satisfied: certifi>=2017.4.17 in c:\\users\\user\\anaconda3\\lib\\site-packages (from requests->transformers) (2022.12.7)\n",
"Note: you may need to restart the kernel to use updated packages.\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"WARNING: Ignoring invalid distribution -orch (c:\\users\\user\\anaconda3\\lib\\site-packages)\n",
"WARNING: Ignoring invalid distribution -rotobuf (c:\\users\\user\\anaconda3\\lib\\site-packages)\n",
"WARNING: Ignoring invalid distribution -orch (c:\\users\\user\\anaconda3\\lib\\site-packages)\n",
"WARNING: Ignoring invalid distribution -rotobuf (c:\\users\\user\\anaconda3\\lib\\site-packages)\n"
]
}
],
"source": [
"pip install transformers"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "7deaaac7",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"IMPORTANT: You are using gradio version 1.6.0, however version 3.14.0 is available, please upgrade.\n",
"--------\n",
"Running locally at: http://127.0.0.1:7861/\n",
"To create a public link, set `share=True` in `launch()`.\n",
"Interface loading below...\n"
]
},
{
"data": {
"text/html": [
"\n",
" <iframe\n",
" width=\"1000\"\n",
" height=\"500\"\n",
" src=\"http://127.0.0.1:7861/\"\n",
" frameborder=\"0\"\n",
" allowfullscreen\n",
" \n",
" ></iframe>\n",
" "
],
"text/plain": [
"<IPython.lib.display.IFrame at 0x22af27eb940>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"(<Flask 'gradio.networking'>, 'http://127.0.0.1:7861/', None)"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import gradio as gr\n",
"from transformers import AutoTokenizer, AutoModelForSequenceClassification\n",
"\n",
"# Load the models and tokenizers\n",
"from transformers import AutoTokenizer, AutoModelForSequenceClassification\n",
"\n",
"tokenizer1 = AutoTokenizer.from_pretrained(\"textattack/bert-base-uncased-imdb\")\n",
"tokenizer2 = AutoTokenizer.from_pretrained(\"nlptown/bert-base-multilingual-uncased-sentiment\")\n",
"model1 = AutoModelForSequenceClassification.from_pretrained(\"textattack/bert-base-uncased-imdb\")\n",
"model2 = AutoModelForSequenceClassification.from_pretrained(\"nlptown/bert-base-multilingual-uncased-sentiment\")\n",
"\n",
"\n",
"\n",
"\n",
"# Define the sentiment prediction functions\n",
"def predict_sentiment(text):\n",
" # Predict sentiment using model 1\n",
" inputs1 = tokenizer1.encode_plus(text, padding=\"longest\", truncation=True, return_tensors=\"pt\")\n",
" outputs1 = model1(**inputs1)\n",
" predicted_label1 = outputs1.logits.argmax().item()\n",
" sentiment1 = \"Positive\" if predicted_label1 == 1 else \"Negative\" if predicted_label1 == 0 else \"Neutral\"\n",
"\n",
" # Predict sentiment using model 2\n",
" inputs2 = tokenizer2.encode_plus(text, padding=\"longest\", truncation=True, return_tensors=\"pt\")\n",
" outputs2 = model2(**inputs2)\n",
" predicted_label2 = outputs2.logits.argmax().item()\n",
" sentiment2 = \"Positive\" if predicted_label2 == 1 else \"Negative\" if predicted_label2 == 0 else \"Neutral\"\n",
"\n",
" return sentiment1, sentiment2\n",
"\n",
"# Create the Gradio interface\n",
"iface = gr.Interface(\n",
" fn=predict_sentiment,\n",
" inputs=\"text\",\n",
" outputs=[\"text\", \"text\"],\n",
" title=\"Sentiment Analysis (Model 1 vs Model 2)\",\n",
" description=\"Compare sentiment predictions from two models.\",\n",
")\n",
"\n",
"# Launch the interface\n",
"iface.launch()\n"
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "bd93f2a5",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Some weights of the model checkpoint at bert-base-uncased were not used when initializing BertForSequenceClassification: ['cls.seq_relationship.weight', 'cls.predictions.transform.LayerNorm.bias', 'cls.seq_relationship.bias', 'cls.predictions.transform.dense.bias', 'cls.predictions.decoder.weight', 'cls.predictions.bias', 'cls.predictions.transform.dense.weight', 'cls.predictions.transform.LayerNorm.weight']\n",
"- This IS expected if you are initializing BertForSequenceClassification from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n",
"- This IS NOT expected if you are initializing BertForSequenceClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n",
"Some weights of BertForSequenceClassification were not initialized from the model checkpoint at bert-base-uncased and are newly initialized: ['classifier.bias', 'classifier.weight']\n",
"You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n",
"Some weights of the model checkpoint at distilbert-base-uncased were not used when initializing DistilBertForSequenceClassification: ['vocab_projector.bias', 'vocab_layer_norm.weight', 'vocab_transform.weight', 'vocab_transform.bias', 'vocab_layer_norm.bias', 'vocab_projector.weight']\n",
"- This IS expected if you are initializing DistilBertForSequenceClassification from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n",
"- This IS NOT expected if you are initializing DistilBertForSequenceClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n",
"Some weights of DistilBertForSequenceClassification were not initialized from the model checkpoint at distilbert-base-uncased and are newly initialized: ['classifier.bias', 'classifier.weight', 'pre_classifier.bias', 'pre_classifier.weight']\n",
"You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"IMPORTANT: You are using gradio version 1.6.0, however version 3.14.0 is available, please upgrade.\n",
"--------\n",
"Running locally at: http://127.0.0.1:7871/\n",
"To create a public link, set `share=True` in `launch()`.\n",
"Interface loading below...\n"
]
},
{
"data": {
"text/html": [
"\n",
" <iframe\n",
" width=\"1000\"\n",
" height=\"500\"\n",
" src=\"http://127.0.0.1:7871/\"\n",
" frameborder=\"0\"\n",
" allowfullscreen\n",
" \n",
" ></iframe>\n",
" "
],
"text/plain": [
"<IPython.lib.display.IFrame at 0x22a82329c30>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"(<Flask 'gradio.networking'>, 'http://127.0.0.1:7871/', None)"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"[2023-06-05 21:25:10,327] ERROR in app: Exception on /api/predict/ [POST]\n",
"Traceback (most recent call last):\n",
" File \"C:\\Users\\User\\anaconda3\\lib\\site-packages\\flask\\app.py\", line 2077, in wsgi_app\n",
" response = self.full_dispatch_request()\n",
" File \"C:\\Users\\User\\anaconda3\\lib\\site-packages\\flask\\app.py\", line 1525, in full_dispatch_request\n",
" rv = self.handle_user_exception(e)\n",
" File \"C:\\Users\\User\\anaconda3\\lib\\site-packages\\flask_cors\\extension.py\", line 165, in wrapped_function\n",
" return cors_after_request(app.make_response(f(*args, **kwargs)))\n",
" File \"C:\\Users\\User\\anaconda3\\lib\\site-packages\\flask\\app.py\", line 1523, in full_dispatch_request\n",
" rv = self.dispatch_request()\n",
" File \"C:\\Users\\User\\anaconda3\\lib\\site-packages\\flask\\app.py\", line 1509, in dispatch_request\n",
" return self.ensure_sync(self.view_functions[rule.endpoint])(**req.view_args)\n",
" File \"C:\\Users\\User\\anaconda3\\lib\\site-packages\\gradio\\networking.py\", line 133, in predict\n",
" prediction, durations = app.interface.process(raw_input)\n",
" File \"C:\\Users\\User\\anaconda3\\lib\\site-packages\\gradio\\interface.py\", line 272, in process\n",
" predictions, durations = self.run_prediction(processed_input, return_duration=True)\n",
" File \"C:\\Users\\User\\anaconda3\\lib\\site-packages\\gradio\\interface.py\", line 246, in run_prediction\n",
" prediction = predict_fn(*processed_input)\n",
" File \"C:\\Users\\User\\AppData\\Local\\Temp\\ipykernel_9376\\3704131587.py\", line 80, in classify_image\n",
" prediction = predict(image_file=image_file, model_key=model_key)\n",
" File \"C:\\Users\\User\\AppData\\Local\\Temp\\ipykernel_9376\\3704131587.py\", line 67, in predict\n",
" image = preprocess(image_file)\n",
" File \"C:\\Users\\User\\AppData\\Local\\Temp\\ipykernel_9376\\3704131587.py\", line 51, in preprocess\n",
" image = Image.open(BytesIO(image_file.read())).convert(\"RGB\")\n",
" File \"C:\\Users\\User\\anaconda3\\lib\\site-packages\\PIL\\Image.py\", line 3283, in open\n",
" raise UnidentifiedImageError(msg)\n",
"PIL.UnidentifiedImageError: cannot identify image file <_io.BytesIO object at 0x0000022ABA1C10D0>\n",
"[2023-06-05 21:39:36,773] ERROR in app: Exception on /api/predict/ [POST]\n",
"Traceback (most recent call last):\n",
" File \"C:\\Users\\User\\anaconda3\\lib\\site-packages\\flask\\app.py\", line 2077, in wsgi_app\n",
" response = self.full_dispatch_request()\n",
" File \"C:\\Users\\User\\anaconda3\\lib\\site-packages\\flask\\app.py\", line 1525, in full_dispatch_request\n",
" rv = self.handle_user_exception(e)\n",
" File \"C:\\Users\\User\\anaconda3\\lib\\site-packages\\flask_cors\\extension.py\", line 165, in wrapped_function\n",
" return cors_after_request(app.make_response(f(*args, **kwargs)))\n",
" File \"C:\\Users\\User\\anaconda3\\lib\\site-packages\\flask\\app.py\", line 1523, in full_dispatch_request\n",
" rv = self.dispatch_request()\n",
" File \"C:\\Users\\User\\anaconda3\\lib\\site-packages\\flask\\app.py\", line 1509, in dispatch_request\n",
" return self.ensure_sync(self.view_functions[rule.endpoint])(**req.view_args)\n",
" File \"C:\\Users\\User\\anaconda3\\lib\\site-packages\\gradio\\networking.py\", line 133, in predict\n",
" prediction, durations = app.interface.process(raw_input)\n",
" File \"C:\\Users\\User\\anaconda3\\lib\\site-packages\\gradio\\interface.py\", line 270, in process\n",
" processed_input = [input_interface.preprocess(raw_input[i])\n",
" File \"C:\\Users\\User\\anaconda3\\lib\\site-packages\\gradio\\interface.py\", line 270, in <listcomp>\n",
" processed_input = [input_interface.preprocess(raw_input[i])\n",
"IndexError: list index out of range\n"
]
}
],
"source": [
"import gradio as gr\n",
"from transformers import AutoTokenizer, AutoModelForSequenceClassification\n",
"import torch\n",
"from torchvision import transforms\n",
"from io import BytesIO\n",
"from PIL import Image\n",
"\n",
"# Define the available models and datasets\n",
"models = {\n",
" \"Model 1\": {\n",
" \"model_name\": \"bert-base-uncased\",\n",
" \"tokenizer\": None,\n",
" \"model\": None\n",
" },\n",
" \"Model 2\": {\n",
" \"model_name\": \"distilbert-base-uncased\",\n",
" \"tokenizer\": None,\n",
" \"model\": None\n",
" },\n",
" # Add more models as needed\n",
"}\n",
"\n",
"datasets = {\n",
" \"Dataset 1\": {\n",
" \"name\": \"imdb\",\n",
" \"split\": \"test\",\n",
" \"features\": [\"text\"],\n",
" },\n",
" \"Dataset 2\": {\n",
" \"name\": \"ag_news\",\n",
" \"split\": \"test\",\n",
" \"features\": [\"text\"],\n",
" },\n",
" # Add more datasets as needed\n",
"}\n",
"\n",
"# Load models\n",
"for model_key, model_info in models.items():\n",
" tokenizer = AutoTokenizer.from_pretrained(model_info[\"model_name\"])\n",
" model = AutoModelForSequenceClassification.from_pretrained(model_info[\"model_name\"])\n",
" model_info[\"tokenizer\"] = tokenizer\n",
" model_info[\"model\"] = model\n",
"\n",
"# Set the device to GPU if available\n",
"device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
"for model_info in models.values():\n",
" model_info[\"model\"].to(device)\n",
"\n",
"# Define the preprocessing function\n",
"def preprocess(image_file):\n",
" image = Image.open(BytesIO(image_file.read())).convert(\"RGB\")\n",
" preprocess_transform = transforms.Compose([\n",
" transforms.Resize((224, 224)),\n",
" transforms.ToTensor(),\n",
" transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])\n",
" ])\n",
" image = preprocess_transform(image)\n",
" image = image.unsqueeze(0)\n",
" return image.to(device)\n",
"\n",
"# Define the prediction function\n",
"def predict(image_file, model_key):\n",
" model_info = models[model_key]\n",
" tokenizer = model_info[\"tokenizer\"]\n",
" model = model_info[\"model\"]\n",
"\n",
" image = preprocess(image_file)\n",
"\n",
" with torch.no_grad():\n",
" outputs = model(image)\n",
"\n",
" predictions = outputs.logits.argmax(dim=1)\n",
"\n",
" return predictions.item()\n",
"\n",
"def classify_image(image, model_key):\n",
" image = Image.fromarray(image.astype('uint8'), 'RGB')\n",
" image_file = BytesIO()\n",
" image.save(image_file, format=\"JPEG\")\n",
" prediction = predict(image_file=image_file, model_key=model_key)\n",
" return prediction\n",
"\n",
"iface = gr.Interface(fn=classify_image,\n",
" inputs=[\"image\", gr.inputs.Dropdown(list(models.keys()), label=\"Model\")],\n",
" outputs=\"text\",\n",
" title=\"Image Classification\",\n",
" description=\"Classify images using Hugging Face models\")\n",
"\n",
"iface.launch()\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "c25d39b5",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.9"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
|