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  1. Pictionary_with_Gradio.ipynb +486 -0
  2. class_names.txt +100 -0
  3. pytorch_model.bin +3 -0
Pictionary_with_Gradio.ipynb ADDED
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+ {
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+ "nbformat": 4,
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+ "nbformat_minor": 0,
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+ "metadata": {
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+ "colab": {
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+ "provenance": [],
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+ "gpuType": "T4"
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+ },
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+ "kernelspec": {
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+ "name": "python3",
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+ "display_name": "Python 3"
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+ },
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+ "language_info": {
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+ "name": "python"
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+ },
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+ "accelerator": "GPU"
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+ },
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+ "cells": [
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+ {
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+ "cell_type": "code",
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+ "execution_count": 1,
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+ "metadata": {
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+ "id": "zlD1ysQ7Tckp"
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+ },
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+ "outputs": [],
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+ "source": [
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+ "import torch\n",
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+ "from torch import nn\n",
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+ "from pathlib import Path"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "source": [
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+ "!pip3 install gradio"
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+ ],
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+ "colab": {
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+ "base_uri": "https://localhost:8080/"
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+ },
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+ "id": "YJQBJHP1Tym5",
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+ "outputId": "46afdd2e-b5fc-4eef-93e3-1f3bc9b7f1ce"
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+ "Collecting h11>=0.8 (from uvicorn>=0.14.0->gradio)\n",
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+ " Downloading h11-0.14.0-py3-none-any.whl (58 kB)\n",
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+ "\u001b[?25hCollecting httpcore<0.18.0,>=0.15.0 (from httpx->gradio)\n",
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+ " Downloading httpcore-0.17.3-py3-none-any.whl (74 kB)\n",
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+ "Requirement already satisfied: anyio<5.0,>=3.0 in /usr/local/lib/python3.10/dist-packages (from httpcore<0.18.0,>=0.15.0->httpx->gradio) (3.7.1)\n",
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+ "Requirement already satisfied: pyrsistent!=0.17.0,!=0.17.1,!=0.17.2,>=0.14.0 in /usr/local/lib/python3.10/dist-packages (from jsonschema>=3.0->altair<6.0,>=4.2.0->gradio) (0.19.3)\n",
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+ "Collecting uc-micro-py (from linkify-it-py<3,>=1->markdown-it-py[linkify]>=2.0.0->gradio)\n",
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+ " Downloading uc_micro_py-1.0.2-py3-none-any.whl (6.2 kB)\n",
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+ "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.7->matplotlib~=3.0->gradio) (1.16.0)\n",
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+ "Requirement already satisfied: exceptiongroup in /usr/local/lib/python3.10/dist-packages (from anyio<5.0,>=3.0->httpcore<0.18.0,>=0.15.0->httpx->gradio) (1.1.2)\n",
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+ "Building wheels for collected packages: ffmpy\n",
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+ " Building wheel for ffmpy (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
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+ " Created wheel for ffmpy: filename=ffmpy-0.3.1-py3-none-any.whl size=5579 sha256=1f000f2f7853794c5857deb6ffb3305dbe3ceedf8e546a42ffd49709d11a0496\n",
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+ " Stored in directory: /root/.cache/pip/wheels/01/a6/d1/1c0828c304a4283b2c1639a09ad86f83d7c487ef34c6b4a1bf\n",
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+ "Successfully built ffmpy\n",
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+ "Installing collected packages: pydub, ffmpy, websockets, uc-micro-py, semantic-version, python-multipart, orjson, markdown-it-py, h11, aiofiles, uvicorn, starlette, mdit-py-plugins, linkify-it-py, huggingface-hub, httpcore, httpx, fastapi, gradio-client, gradio\n",
179
+ " Attempting uninstall: markdown-it-py\n",
180
+ " Found existing installation: markdown-it-py 3.0.0\n",
181
+ " Uninstalling markdown-it-py-3.0.0:\n",
182
+ " Successfully uninstalled markdown-it-py-3.0.0\n",
183
+ "Successfully installed aiofiles-23.1.0 fastapi-0.100.0 ffmpy-0.3.1 gradio-3.38.0 gradio-client-0.2.10 h11-0.14.0 httpcore-0.17.3 httpx-0.24.1 huggingface-hub-0.16.4 linkify-it-py-2.0.2 markdown-it-py-2.2.0 mdit-py-plugins-0.3.3 orjson-3.9.2 pydub-0.25.1 python-multipart-0.0.6 semantic-version-2.10.0 starlette-0.27.0 uc-micro-py-1.0.2 uvicorn-0.23.1 websockets-11.0.3\n"
184
+ ]
185
+ }
186
+ ]
187
+ },
188
+ {
189
+ "cell_type": "code",
190
+ "source": [
191
+ "LABELS=Path('class_names.txt').read_text().splitlines()"
192
+ ],
193
+ "metadata": {
194
+ "id": "PGdL4zXMT8Bn"
195
+ },
196
+ "execution_count": 3,
197
+ "outputs": []
198
+ },
199
+ {
200
+ "cell_type": "code",
201
+ "source": [
202
+ "model = nn.Sequential(\n",
203
+ " nn.Conv2d(1, 32, 3, padding='same'),\n",
204
+ " nn.ReLU(),\n",
205
+ " nn.MaxPool2d(2),\n",
206
+ " nn.Conv2d(32, 64, 3, padding='same'),\n",
207
+ " nn.ReLU(),\n",
208
+ " nn.MaxPool2d(2),\n",
209
+ " nn.Conv2d(64, 128, 3, padding='same'),\n",
210
+ " nn.ReLU(),\n",
211
+ " nn.MaxPool2d(2),\n",
212
+ " nn.Flatten(),\n",
213
+ " nn.Linear(1152, 256),\n",
214
+ " nn.ReLU(),\n",
215
+ " nn.Linear(256, len(LABELS)),\n",
216
+ ")"
217
+ ],
218
+ "metadata": {
219
+ "id": "XZ1AM4BxUMnH"
220
+ },
221
+ "execution_count": 4,
222
+ "outputs": []
223
+ },
224
+ {
225
+ "cell_type": "code",
226
+ "source": [
227
+ "state_dict=torch.load('pytorch_model.bin',map_location='cpu')"
228
+ ],
229
+ "metadata": {
230
+ "id": "lDJZ7Vo9Ui0Y"
231
+ },
232
+ "execution_count": 9,
233
+ "outputs": []
234
+ },
235
+ {
236
+ "cell_type": "code",
237
+ "source": [
238
+ "import gradio as gr"
239
+ ],
240
+ "metadata": {
241
+ "id": "LzwKoPfTUq5x"
242
+ },
243
+ "execution_count": 7,
244
+ "outputs": []
245
+ },
246
+ {
247
+ "cell_type": "code",
248
+ "source": [
249
+ "model.load_state_dict(state_dict, strict=False)\n",
250
+ "model.eval()\n"
251
+ ],
252
+ "metadata": {
253
+ "colab": {
254
+ "base_uri": "https://localhost:8080/"
255
+ },
256
+ "id": "e_6paL_qU4YB",
257
+ "outputId": "e018df13-6ac1-47a0-d634-cb8084d05d5a"
258
+ },
259
+ "execution_count": 10,
260
+ "outputs": [
261
+ {
262
+ "output_type": "execute_result",
263
+ "data": {
264
+ "text/plain": [
265
+ "Sequential(\n",
266
+ " (0): Conv2d(1, 32, kernel_size=(3, 3), stride=(1, 1), padding=same)\n",
267
+ " (1): ReLU()\n",
268
+ " (2): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)\n",
269
+ " (3): Conv2d(32, 64, kernel_size=(3, 3), stride=(1, 1), padding=same)\n",
270
+ " (4): ReLU()\n",
271
+ " (5): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)\n",
272
+ " (6): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=same)\n",
273
+ " (7): ReLU()\n",
274
+ " (8): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)\n",
275
+ " (9): Flatten(start_dim=1, end_dim=-1)\n",
276
+ " (10): Linear(in_features=1152, out_features=256, bias=True)\n",
277
+ " (11): ReLU()\n",
278
+ " (12): Linear(in_features=256, out_features=100, bias=True)\n",
279
+ ")"
280
+ ]
281
+ },
282
+ "metadata": {},
283
+ "execution_count": 10
284
+ }
285
+ ]
286
+ },
287
+ {
288
+ "cell_type": "code",
289
+ "source": [
290
+ "def predict(im):\n",
291
+ " x = torch.tensor(im, dtype=torch.float32).unsqueeze(0).unsqueeze(0) / 255.\n",
292
+ "\n",
293
+ " with torch.no_grad():\n",
294
+ " out = model(x)\n",
295
+ "\n",
296
+ " probabilities = torch.nn.functional.softmax(out[0], dim=0)\n",
297
+ "\n",
298
+ " values, indices = torch.topk(probabilities, 5)\n",
299
+ "\n",
300
+ " return {LABELS[i]: v.item() for i, v in zip(indices, values)}"
301
+ ],
302
+ "metadata": {
303
+ "id": "baptDAiGVCvF"
304
+ },
305
+ "execution_count": 11,
306
+ "outputs": []
307
+ },
308
+ {
309
+ "cell_type": "code",
310
+ "source": [
311
+ "interface=gr.Interface(\n",
312
+ " predict,\n",
313
+ " inputs=\"sketchpad\",\n",
314
+ " outputs='label',\n",
315
+ " theme=\"huggingface\",\n",
316
+ " title=\"Sketch Recognition\",\n",
317
+ " description=\"Sketch something for the model to guess in realtime\",\n",
318
+ " article = \"<p style='text-align: center'>Sketch Recognition | Demo Model</p>\",\n",
319
+ " live=True)\n",
320
+ "interface.launch(share=True)\n"
321
+ ],
322
+ "metadata": {
323
+ "colab": {
324
+ "base_uri": "https://localhost:8080/",
325
+ "height": 1000
326
+ },
327
+ "id": "4sZiRCv-VI9O",
328
+ "outputId": "476b68b7-397e-4465-fb83-fb9b6dff499d"
329
+ },
330
+ "execution_count": 13,
331
+ "outputs": [
332
+ {
333
+ "output_type": "stream",
334
+ "name": "stderr",
335
+ "text": [
336
+ "/usr/local/lib/python3.10/dist-packages/gradio/blocks.py:694: UserWarning: Cannot load huggingface. Caught Exception: The space huggingface does not exist\n",
337
+ " warnings.warn(f\"Cannot load {theme}. Caught Exception: {str(e)}\")\n"
338
+ ]
339
+ },
340
+ {
341
+ "output_type": "stream",
342
+ "name": "stdout",
343
+ "text": [
344
+ "Colab notebook detected. This cell will run indefinitely so that you can see errors and logs. To turn off, set debug=False in launch().\n",
345
+ "Running on public URL: https://033d7a67112f637955.gradio.live\n",
346
+ "\n",
347
+ "This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from Terminal to deploy to Spaces (https://huggingface.co/spaces)\n"
348
+ ]
349
+ },
350
+ {
351
+ "output_type": "display_data",
352
+ "data": {
353
+ "text/plain": [
354
+ "<IPython.core.display.HTML object>"
355
+ ],
356
+ "text/html": [
357
+ "<div><iframe src=\"https://033d7a67112f637955.gradio.live\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
358
+ ]
359
+ },
360
+ "metadata": {}
361
+ },
362
+ {
363
+ "output_type": "stream",
364
+ "name": "stderr",
365
+ "text": [
366
+ "Traceback (most recent call last):\n",
367
+ " File \"/usr/local/lib/python3.10/dist-packages/gradio/routes.py\", line 442, in run_predict\n",
368
+ " output = await app.get_blocks().process_api(\n",
369
+ " File \"/usr/local/lib/python3.10/dist-packages/gradio/blocks.py\", line 1389, in process_api\n",
370
+ " result = await self.call_function(\n",
371
+ " File \"/usr/local/lib/python3.10/dist-packages/gradio/blocks.py\", line 1094, in call_function\n",
372
+ " prediction = await anyio.to_thread.run_sync(\n",
373
+ " File \"/usr/local/lib/python3.10/dist-packages/anyio/to_thread.py\", line 33, in run_sync\n",
374
+ " return await get_asynclib().run_sync_in_worker_thread(\n",
375
+ " File \"/usr/local/lib/python3.10/dist-packages/anyio/_backends/_asyncio.py\", line 877, in run_sync_in_worker_thread\n",
376
+ " return await future\n",
377
+ " File \"/usr/local/lib/python3.10/dist-packages/anyio/_backends/_asyncio.py\", line 807, in run\n",
378
+ " result = context.run(func, *args)\n",
379
+ " File \"/usr/local/lib/python3.10/dist-packages/gradio/utils.py\", line 703, in wrapper\n",
380
+ " response = f(*args, **kwargs)\n",
381
+ " File \"<ipython-input-11-83491c3d48b5>\", line 2, in predict\n",
382
+ " x = torch.tensor(im, dtype=torch.float32).unsqueeze(0).unsqueeze(0) / 255.\n",
383
+ "TypeError: must be real number, not NoneType\n",
384
+ "Traceback (most recent call last):\n",
385
+ " File \"/usr/local/lib/python3.10/dist-packages/gradio/routes.py\", line 442, in run_predict\n",
386
+ " output = await app.get_blocks().process_api(\n",
387
+ " File \"/usr/local/lib/python3.10/dist-packages/gradio/blocks.py\", line 1389, in process_api\n",
388
+ " result = await self.call_function(\n",
389
+ " File \"/usr/local/lib/python3.10/dist-packages/gradio/blocks.py\", line 1094, in call_function\n",
390
+ " prediction = await anyio.to_thread.run_sync(\n",
391
+ " File \"/usr/local/lib/python3.10/dist-packages/anyio/to_thread.py\", line 33, in run_sync\n",
392
+ " return await get_asynclib().run_sync_in_worker_thread(\n",
393
+ " File \"/usr/local/lib/python3.10/dist-packages/anyio/_backends/_asyncio.py\", line 877, in run_sync_in_worker_thread\n",
394
+ " return await future\n",
395
+ " File \"/usr/local/lib/python3.10/dist-packages/anyio/_backends/_asyncio.py\", line 807, in run\n",
396
+ " result = context.run(func, *args)\n",
397
+ " File \"/usr/local/lib/python3.10/dist-packages/gradio/utils.py\", line 703, in wrapper\n",
398
+ " response = f(*args, **kwargs)\n",
399
+ " File \"<ipython-input-11-83491c3d48b5>\", line 2, in predict\n",
400
+ " x = torch.tensor(im, dtype=torch.float32).unsqueeze(0).unsqueeze(0) / 255.\n",
401
+ "TypeError: must be real number, not NoneType\n",
402
+ "Traceback (most recent call last):\n",
403
+ " File \"/usr/local/lib/python3.10/dist-packages/gradio/routes.py\", line 442, in run_predict\n",
404
+ " output = await app.get_blocks().process_api(\n",
405
+ " File \"/usr/local/lib/python3.10/dist-packages/gradio/blocks.py\", line 1389, in process_api\n",
406
+ " result = await self.call_function(\n",
407
+ " File \"/usr/local/lib/python3.10/dist-packages/gradio/blocks.py\", line 1094, in call_function\n",
408
+ " prediction = await anyio.to_thread.run_sync(\n",
409
+ " File \"/usr/local/lib/python3.10/dist-packages/anyio/to_thread.py\", line 33, in run_sync\n",
410
+ " return await get_asynclib().run_sync_in_worker_thread(\n",
411
+ " File \"/usr/local/lib/python3.10/dist-packages/anyio/_backends/_asyncio.py\", line 877, in run_sync_in_worker_thread\n",
412
+ " return await future\n",
413
+ " File \"/usr/local/lib/python3.10/dist-packages/anyio/_backends/_asyncio.py\", line 807, in run\n",
414
+ " result = context.run(func, *args)\n",
415
+ " File \"/usr/local/lib/python3.10/dist-packages/gradio/utils.py\", line 703, in wrapper\n",
416
+ " response = f(*args, **kwargs)\n",
417
+ " File \"<ipython-input-11-83491c3d48b5>\", line 2, in predict\n",
418
+ " x = torch.tensor(im, dtype=torch.float32).unsqueeze(0).unsqueeze(0) / 255.\n",
419
+ "TypeError: must be real number, not NoneType\n",
420
+ "Traceback (most recent call last):\n",
421
+ " File \"/usr/local/lib/python3.10/dist-packages/gradio/routes.py\", line 442, in run_predict\n",
422
+ " output = await app.get_blocks().process_api(\n",
423
+ " File \"/usr/local/lib/python3.10/dist-packages/gradio/blocks.py\", line 1389, in process_api\n",
424
+ " result = await self.call_function(\n",
425
+ " File \"/usr/local/lib/python3.10/dist-packages/gradio/blocks.py\", line 1094, in call_function\n",
426
+ " prediction = await anyio.to_thread.run_sync(\n",
427
+ " File \"/usr/local/lib/python3.10/dist-packages/anyio/to_thread.py\", line 33, in run_sync\n",
428
+ " return await get_asynclib().run_sync_in_worker_thread(\n",
429
+ " File \"/usr/local/lib/python3.10/dist-packages/anyio/_backends/_asyncio.py\", line 877, in run_sync_in_worker_thread\n",
430
+ " return await future\n",
431
+ " File \"/usr/local/lib/python3.10/dist-packages/anyio/_backends/_asyncio.py\", line 807, in run\n",
432
+ " result = context.run(func, *args)\n",
433
+ " File \"/usr/local/lib/python3.10/dist-packages/gradio/utils.py\", line 703, in wrapper\n",
434
+ " response = f(*args, **kwargs)\n",
435
+ " File \"<ipython-input-11-83491c3d48b5>\", line 2, in predict\n",
436
+ " x = torch.tensor(im, dtype=torch.float32).unsqueeze(0).unsqueeze(0) / 255.\n",
437
+ "TypeError: must be real number, not NoneType\n",
438
+ "Traceback (most recent call last):\n",
439
+ " File \"/usr/local/lib/python3.10/dist-packages/gradio/routes.py\", line 442, in run_predict\n",
440
+ " output = await app.get_blocks().process_api(\n",
441
+ " File \"/usr/local/lib/python3.10/dist-packages/gradio/blocks.py\", line 1389, in process_api\n",
442
+ " result = await self.call_function(\n",
443
+ " File \"/usr/local/lib/python3.10/dist-packages/gradio/blocks.py\", line 1094, in call_function\n",
444
+ " prediction = await anyio.to_thread.run_sync(\n",
445
+ " File \"/usr/local/lib/python3.10/dist-packages/anyio/to_thread.py\", line 33, in run_sync\n",
446
+ " return await get_asynclib().run_sync_in_worker_thread(\n",
447
+ " File \"/usr/local/lib/python3.10/dist-packages/anyio/_backends/_asyncio.py\", line 877, in run_sync_in_worker_thread\n",
448
+ " return await future\n",
449
+ " File \"/usr/local/lib/python3.10/dist-packages/anyio/_backends/_asyncio.py\", line 807, in run\n",
450
+ " result = context.run(func, *args)\n",
451
+ " File \"/usr/local/lib/python3.10/dist-packages/gradio/utils.py\", line 703, in wrapper\n",
452
+ " response = f(*args, **kwargs)\n",
453
+ " File \"<ipython-input-11-83491c3d48b5>\", line 2, in predict\n",
454
+ " x = torch.tensor(im, dtype=torch.float32).unsqueeze(0).unsqueeze(0) / 255.\n",
455
+ "TypeError: must be real number, not NoneType\n"
456
+ ]
457
+ },
458
+ {
459
+ "output_type": "stream",
460
+ "name": "stdout",
461
+ "text": [
462
+ "Keyboard interruption in main thread... closing server.\n",
463
+ "Killing tunnel 127.0.0.1:7860 <> https://033d7a67112f637955.gradio.live\n"
464
+ ]
465
+ },
466
+ {
467
+ "output_type": "execute_result",
468
+ "data": {
469
+ "text/plain": []
470
+ },
471
+ "metadata": {},
472
+ "execution_count": 13
473
+ }
474
+ ]
475
+ },
476
+ {
477
+ "cell_type": "code",
478
+ "source": [],
479
+ "metadata": {
480
+ "id": "30uwS_0zVhT3"
481
+ },
482
+ "execution_count": null,
483
+ "outputs": []
484
+ }
485
+ ]
486
+ }
class_names.txt ADDED
@@ -0,0 +1,100 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ airplane
2
+ alarm_clock
3
+ anvil
4
+ apple
5
+ axe
6
+ baseball
7
+ baseball_bat
8
+ basketball
9
+ beard
10
+ bed
11
+ bench
12
+ bicycle
13
+ bird
14
+ book
15
+ bread
16
+ bridge
17
+ broom
18
+ butterfly
19
+ camera
20
+ candle
21
+ car
22
+ cat
23
+ ceiling_fan
24
+ cell_phone
25
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26
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27
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28
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29
+ coffee_cup
30
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31
+ cup
32
+ diving_board
33
+ donut
34
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35
+ drums
36
+ dumbbell
37
+ envelope
38
+ eye
39
+ eyeglasses
40
+ face
41
+ fan
42
+ flower
43
+ frying_pan
44
+ grapes
45
+ hammer
46
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47
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48
+ helmet
49
+ hot_dog
50
+ ice_cream
51
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52
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53
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54
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55
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56
+ lightning
57
+ line
58
+ lollipop
59
+ microphone
60
+ moon
61
+ mountain
62
+ moustache
63
+ mushroom
64
+ pants
65
+ paper_clip
66
+ pencil
67
+ pillow
68
+ pizza
69
+ power_outlet
70
+ radio
71
+ rainbow
72
+ rifle
73
+ saw
74
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75
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76
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77
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+ smiley_face
79
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80
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81
+ spider
82
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84
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85
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86
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88
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89
+ syringe
90
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91
+ table
92
+ tennis_racquet
93
+ tent
94
+ tooth
95
+ traffic_light
96
+ tree
97
+ triangle
98
+ umbrella
99
+ wheel
100
+ wristwatch
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:effb6ea6f1593c09e8247944028ed9c309b5ff1cef82ba38b822bee2ca4d0f3c
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+ size 1656903