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dnth commited on
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1 Parent(s): aaa96fb

add more image sample

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  1. .ipynb_checkpoints/app-checkpoint.py +1 -1
  2. .ipynb_checkpoints/train-checkpoint.ipynb +42 -131
  3. app.py +1 -1
  4. gradio_queue.db +0 -0
  5. kitten.jpg +0 -0
  6. sample_images/Abyssinian_27.jpg +0 -0
  7. sample_images/Abyssinian_29.jpg +0 -0
  8. sample_images/Abyssinian_67.jpg +0 -0
  9. sample_images/Abyssinian_7.jpg +0 -0
  10. sample_images/Bengal_108.jpg +0 -0
  11. sample_images/Bengal_109.jpg +0 -0
  12. sample_images/Bengal_19.jpg +0 -0
  13. sample_images/Bengal_21.jpg +0 -0
  14. sample_images/Birman_103.jpg +0 -0
  15. sample_images/Birman_113.jpg +0 -0
  16. sample_images/Birman_120.jpg +0 -0
  17. sample_images/Bombay_19.jpg +0 -0
  18. sample_images/Bombay_25.jpg +0 -0
  19. sample_images/British_Shorthair_57.jpg +0 -0
  20. sample_images/British_Shorthair_61.jpg +0 -0
  21. sample_images/Egyptian_Mau_57.jpg +0 -0
  22. sample_images/Egyptian_Mau_63.jpg +0 -0
  23. sample_images/american_bulldog_24.jpg +0 -0
  24. sample_images/american_bulldog_83.jpg +0 -0
  25. sample_images/american_pit_bull_terrier_52.jpg +0 -0
  26. sample_images/american_pit_bull_terrier_76.jpg +0 -0
  27. sample_images/basset_hound_12.jpg +0 -0
  28. sample_images/basset_hound_17.jpg +0 -0
  29. sample_images/beagle_120.jpg +0 -0
  30. sample_images/beagle_125.jpg +0 -0
  31. sample_images/chihuahua_93.jpg +0 -0
  32. sample_images/chihuahua_94.jpg +0 -0
  33. sample_images/staffordshire_bull_terrier_129.jpg +0 -0
  34. sample_images/staffordshire_bull_terrier_173.jpg +0 -0
  35. sample_images/wheaten_terrier_137.jpg +0 -0
  36. sample_images/wheaten_terrier_138.jpg +0 -0
  37. sample_images/yorkshire_terrier_189.jpg +0 -0
  38. sample_images/yorkshire_terrier_196.jpg +0 -0
  39. siamese.jpg +0 -0
  40. train.ipynb +260 -127
.ipynb_checkpoints/app-checkpoint.py CHANGED
@@ -13,7 +13,7 @@ def predict(img):
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  title = "Pet Breed Classifier"
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  description = "A pet breed classifier trained on the Oxford Pets dataset"
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  interpretation='default'
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- examples = ['siamese.jpg', 'kitten.jpg']
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  article="<p style='text-align: center'><a href='https://dicksonneoh.com' target='_blank'>Blog post</a></p>"
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  enable_queue=True
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  title = "Pet Breed Classifier"
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  description = "A pet breed classifier trained on the Oxford Pets dataset"
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  interpretation='default'
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+ examples = ["sample_images/"+file for file in files]
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  article="<p style='text-align: center'><a href='https://dicksonneoh.com' target='_blank'>Blog post</a></p>"
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  enable_queue=True
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.ipynb_checkpoints/train-checkpoint.ipynb CHANGED
@@ -2,114 +2,10 @@
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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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  "id": "311970df-d109-452d-a843-c31048daf6e3",
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  "metadata": {},
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- "outputs": [
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- {
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- "name": "stderr",
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- "output_type": "stream",
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- "text": [
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- "/home/camaro/anaconda3/envs/gradio/lib/python3.8/site-packages/torch/_tensor.py:1051: UserWarning: torch.solve is deprecated in favor of torch.linalg.solveand will be removed in a future PyTorch release.\n",
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- "torch.linalg.solve has its arguments reversed and does not return the LU factorization.\n",
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- "To get the LU factorization see torch.lu, which can be used with torch.lu_solve or torch.lu_unpack.\n",
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- "X = torch.solve(B, A).solution\n",
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- "should be replaced with\n",
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- "X = torch.linalg.solve(A, B) (Triggered internally at ../aten/src/ATen/native/BatchLinearAlgebra.cpp:766.)\n",
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- " ret = func(*args, **kwargs)\n"
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- ]
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- },
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- {
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- "data": {
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- "text/html": [
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- "<table border=\"1\" class=\"dataframe\">\n",
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- " <thead>\n",
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- " <tr style=\"text-align: left;\">\n",
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- " <th>epoch</th>\n",
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- " <th>train_loss</th>\n",
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- " <th>valid_loss</th>\n",
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- " <th>accuracy</th>\n",
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- " <th>time</th>\n",
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- " </tr>\n",
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- " </thead>\n",
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- " <tbody>\n",
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- " <tr>\n",
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- " <td>0</td>\n",
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- " <td>1.302047</td>\n",
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- " <td>0.278566</td>\n",
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- " <td>0.912720</td>\n",
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- " <td>00:27</td>\n",
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- " </tr>\n",
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- " </tbody>\n",
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- "</table>"
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- ],
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- "text/plain": [
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- "<IPython.core.display.HTML object>"
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- ]
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- },
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- "metadata": {},
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- "output_type": "display_data"
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- },
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- {
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- "data": {
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- "text/html": [
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- "<table border=\"1\" class=\"dataframe\">\n",
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- " <thead>\n",
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- " <tr style=\"text-align: left;\">\n",
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- " <th>epoch</th>\n",
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- " <th>train_loss</th>\n",
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- " <th>valid_loss</th>\n",
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- " <th>accuracy</th>\n",
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- " <th>time</th>\n",
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- " </tr>\n",
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- " </thead>\n",
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- " <tbody>\n",
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- " <tr>\n",
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- " <td>0</td>\n",
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- " <td>0.340128</td>\n",
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- " <td>0.220963</td>\n",
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- " <td>0.933018</td>\n",
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- " <td>00:30</td>\n",
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- " </tr>\n",
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- " <tr>\n",
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- " <td>1</td>\n",
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- " <td>0.291360</td>\n",
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- " <td>0.273055</td>\n",
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- " <td>0.912043</td>\n",
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- " <td>00:29</td>\n",
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- " </tr>\n",
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- " <tr>\n",
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- " <td>2</td>\n",
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- " <td>0.221144</td>\n",
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- " <td>0.231351</td>\n",
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- " <td>0.933694</td>\n",
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- " <td>00:29</td>\n",
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- " </tr>\n",
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- " <tr>\n",
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- " <td>3</td>\n",
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- " <td>0.142861</td>\n",
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- " <td>0.212190</td>\n",
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- " <td>0.939784</td>\n",
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- " <td>00:29</td>\n",
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- " </tr>\n",
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- " <tr>\n",
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- " <td>4</td>\n",
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- " <td>0.097161</td>\n",
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- " <td>0.201630</td>\n",
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- " <td>0.943166</td>\n",
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- " <td>00:29</td>\n",
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- " </tr>\n",
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- " </tbody>\n",
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- "</table>"
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- ],
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- "text/plain": [
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- "<IPython.core.display.HTML object>"
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- ]
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- },
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- "metadata": {},
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- "output_type": "display_data"
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- }
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- ],
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  "source": [
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  "from fastai.vision.all import *\n",
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  "path = untar_data(URLs.PETS)\n",
@@ -122,7 +18,7 @@
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 2,
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  "id": "ef4ffc95-6051-4354-af16-25477b279657",
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  "metadata": {},
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  "outputs": [],
@@ -132,7 +28,7 @@
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 3,
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  "id": "49289d4b-7e8c-4264-bb03-8a0d851caf1c",
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  "metadata": {},
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  "outputs": [],
@@ -146,44 +42,59 @@
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 6,
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- "id": "62fe5dc0-5fd1-4cc7-af8d-a325e3915173",
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  "metadata": {},
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  "outputs": [
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  {
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  "name": "stdout",
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  "output_type": "stream",
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  "text": [
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- "Running on local URL: http://127.0.0.1:7862/\n"
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- ]
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- },
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- {
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- "ename": "MissingSchema",
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- "evalue": "Invalid URL 'None': No schema supplied. Perhaps you meant http://None?",
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- "output_type": "error",
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- "traceback": [
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- "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
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- "\u001b[0;31mMissingSchema\u001b[0m Traceback (most recent call last)",
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- "\u001b[0;32m/tmp/ipykernel_386694/3583444977.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m 8\u001b[0m \u001b[0menable_queue\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 9\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 10\u001b[0;31m \u001b[0mgr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mInterface\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfn\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mpredict\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0minputs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mgr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minputs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mImage\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m512\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m512\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0moutputs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mgr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moutputs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mLabel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnum_top_classes\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mtitle\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtitle\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mdescription\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdescription\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0marticle\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0marticle\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mexamples\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mexamples\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0minterpretation\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0minterpretation\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0menable_queue\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0menable_queue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlaunch\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mshare\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
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- "\u001b[0;32m~/anaconda3/envs/gradio/lib/python3.8/site-packages/gradio/interface.py\u001b[0m in \u001b[0;36mlaunch\u001b[0;34m(self, inline, inbrowser, share, debug, auth, auth_message, private_endpoint, prevent_thread_lock, show_error)\u001b[0m\n\u001b[1;32m 626\u001b[0m \u001b[0;31m# Embed the remote interface page if on google colab; otherwise, embed the local page.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 627\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mshare\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 628\u001b[0;31m \u001b[0;32mwhile\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mnetworking\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0murl_ok\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mshare_url\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 629\u001b[0m \u001b[0mtime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msleep\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 630\u001b[0m \u001b[0mdisplay\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mIFrame\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mshare_url\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mwidth\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwidth\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mheight\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mheight\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
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- "\u001b[0;32m~/anaconda3/envs/gradio/lib/python3.8/site-packages/gradio/networking.py\u001b[0m in \u001b[0;36murl_ok\u001b[0;34m(url)\u001b[0m\n\u001b[1;32m 500\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0m_\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m5\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 501\u001b[0m \u001b[0mtime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msleep\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m.500\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 502\u001b[0;31m \u001b[0mr\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mrequests\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhead\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0murl\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 503\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstatus_code\u001b[0m \u001b[0;32min\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;36m200\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m401\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m302\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;31m# 401 or 302 if auth is set\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 504\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
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- "\u001b[0;32m~/anaconda3/envs/gradio/lib/python3.8/site-packages/requests/api.py\u001b[0m in \u001b[0;36mhead\u001b[0;34m(url, **kwargs)\u001b[0m\n\u001b[1;32m 100\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 101\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msetdefault\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'allow_redirects'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 102\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mrequest\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'head'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0murl\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 103\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 104\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
171
- "\u001b[0;32m~/anaconda3/envs/gradio/lib/python3.8/site-packages/requests/api.py\u001b[0m in \u001b[0;36mrequest\u001b[0;34m(method, url, **kwargs)\u001b[0m\n\u001b[1;32m 59\u001b[0m \u001b[0;31m# cases, and look like a memory leak in others.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 60\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0msessions\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mSession\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0msession\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 61\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0msession\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrequest\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmethod\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmethod\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0murl\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0murl\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 62\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 63\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
172
- "\u001b[0;32m~/anaconda3/envs/gradio/lib/python3.8/site-packages/requests/sessions.py\u001b[0m in \u001b[0;36mrequest\u001b[0;34m(self, method, url, params, data, headers, cookies, files, auth, timeout, allow_redirects, proxies, hooks, stream, verify, cert, json)\u001b[0m\n\u001b[1;32m 526\u001b[0m \u001b[0mhooks\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mhooks\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 527\u001b[0m )\n\u001b[0;32m--> 528\u001b[0;31m \u001b[0mprep\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprepare_request\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mreq\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 529\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 530\u001b[0m \u001b[0mproxies\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mproxies\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
173
- "\u001b[0;32m~/anaconda3/envs/gradio/lib/python3.8/site-packages/requests/sessions.py\u001b[0m in \u001b[0;36mprepare_request\u001b[0;34m(self, request)\u001b[0m\n\u001b[1;32m 454\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 455\u001b[0m \u001b[0mp\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mPreparedRequest\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 456\u001b[0;31m p.prepare(\n\u001b[0m\u001b[1;32m 457\u001b[0m \u001b[0mmethod\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mrequest\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmethod\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mupper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 458\u001b[0m \u001b[0murl\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mrequest\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0murl\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
174
- "\u001b[0;32m~/anaconda3/envs/gradio/lib/python3.8/site-packages/requests/models.py\u001b[0m in \u001b[0;36mprepare\u001b[0;34m(self, method, url, headers, files, data, params, auth, cookies, hooks, json)\u001b[0m\n\u001b[1;32m 314\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 315\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprepare_method\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmethod\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 316\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprepare_url\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0murl\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mparams\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 317\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprepare_headers\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mheaders\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 318\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprepare_cookies\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcookies\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
175
- "\u001b[0;32m~/anaconda3/envs/gradio/lib/python3.8/site-packages/requests/models.py\u001b[0m in \u001b[0;36mprepare_url\u001b[0;34m(self, url, params)\u001b[0m\n\u001b[1;32m 388\u001b[0m \u001b[0merror\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0merror\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mformat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mto_native_string\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0murl\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'utf8'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 389\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 390\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mMissingSchema\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0merror\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 391\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 392\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mhost\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
176
- "\u001b[0;31mMissingSchema\u001b[0m: Invalid URL 'None': No schema supplied. Perhaps you meant http://None?"
 
177
  ]
178
  }
179
  ],
 
 
 
 
 
 
 
 
 
 
 
 
 
180
  "source": [
181
  "import gradio as gr\n",
182
  "\n",
183
  "title = \"Pet Breed Classifier\"\n",
184
  "description = \"A pet breed classifier trained on the Oxford Pets dataset\"\n",
185
  "interpretation='default'\n",
186
- "examples = ['siamese.jpg', 'kitten.jpg']\n",
 
187
  "article=\"<p style='text-align: center'><a href='https://dicksonneoh.com' target='_blank'>Blog post</a></p>\"\n",
188
  "enable_queue=True\n",
189
  "\n",
 
2
  "cells": [
3
  {
4
  "cell_type": "code",
5
+ "execution_count": null,
6
  "id": "311970df-d109-452d-a843-c31048daf6e3",
7
  "metadata": {},
8
+ "outputs": [],
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
9
  "source": [
10
  "from fastai.vision.all import *\n",
11
  "path = untar_data(URLs.PETS)\n",
 
18
  },
19
  {
20
  "cell_type": "code",
21
+ "execution_count": null,
22
  "id": "ef4ffc95-6051-4354-af16-25477b279657",
23
  "metadata": {},
24
  "outputs": [],
 
28
  },
29
  {
30
  "cell_type": "code",
31
+ "execution_count": null,
32
  "id": "49289d4b-7e8c-4264-bb03-8a0d851caf1c",
33
  "metadata": {},
34
  "outputs": [],
 
42
  },
43
  {
44
  "cell_type": "code",
45
+ "execution_count": 2,
46
+ "id": "a6b53fe8-ded5-4048-afd7-e488dc884aec",
47
  "metadata": {},
48
  "outputs": [
49
  {
50
  "name": "stdout",
51
  "output_type": "stream",
52
  "text": [
53
+ "american_pit_bull_terrier_52.jpg\n",
54
+ "staffordshire_bull_terrier_129.jpg\n",
55
+ "wheaten_terrier_138.jpg\n",
56
+ "staffordshire_bull_terrier_172.jpg\n",
57
+ "yorkshire_terrier_189.jpg\n",
58
+ "Abyssinian_67.jpg\n",
59
+ "basset_hound_12.jpg\n",
60
+ "american_bulldog_24.jpg\n",
61
+ "beagle_120.jpg\n",
62
+ "staffordshire_bull_terrier_173.jpg\n",
63
+ "beagle_125.jpg\n",
64
+ "Bengal_21.jpg\n",
65
+ "basset_hound_17.jpg\n",
66
+ "staffordshire_bull_terrier_130.jpg\n",
67
+ "Abyssinian_7.jpg\n",
68
+ "american_bulldog_83.jpg\n",
69
+ "Birman_103.jpg\n",
70
+ "Bengal_19.jpg\n",
71
+ "american_pit_bull_terrier_76.jpg\n",
72
+ "yorkshire_terrier_196.jpg\n",
73
+ "wheaten_terrier_137.jpg\n"
74
  ]
75
  }
76
  ],
77
+ "source": [
78
+ "import os\n",
79
+ "for root, dirs, files in os.walk(r'sample_image/'):\n",
80
+ " for filename in files:\n",
81
+ " print(filename)"
82
+ ]
83
+ },
84
+ {
85
+ "cell_type": "code",
86
+ "execution_count": null,
87
+ "id": "62fe5dc0-5fd1-4cc7-af8d-a325e3915173",
88
+ "metadata": {},
89
+ "outputs": [],
90
  "source": [
91
  "import gradio as gr\n",
92
  "\n",
93
  "title = \"Pet Breed Classifier\"\n",
94
  "description = \"A pet breed classifier trained on the Oxford Pets dataset\"\n",
95
  "interpretation='default'\n",
96
+ "# examples = ['siamese.jpg', 'kitten.jpg']\n",
97
+ "examples = files\n",
98
  "article=\"<p style='text-align: center'><a href='https://dicksonneoh.com' target='_blank'>Blog post</a></p>\"\n",
99
  "enable_queue=True\n",
100
  "\n",
app.py CHANGED
@@ -13,7 +13,7 @@ def predict(img):
13
  title = "Pet Breed Classifier"
14
  description = "A pet breed classifier trained on the Oxford Pets dataset"
15
  interpretation='default'
16
- examples = ['siamese.jpg', 'kitten.jpg']
17
  article="<p style='text-align: center'><a href='https://dicksonneoh.com' target='_blank'>Blog post</a></p>"
18
  enable_queue=True
19
 
 
13
  title = "Pet Breed Classifier"
14
  description = "A pet breed classifier trained on the Oxford Pets dataset"
15
  interpretation='default'
16
+ examples = ["sample_images/"+file for file in files]
17
  article="<p style='text-align: center'><a href='https://dicksonneoh.com' target='_blank'>Blog post</a></p>"
18
  enable_queue=True
19
 
gradio_queue.db CHANGED
Binary files a/gradio_queue.db and b/gradio_queue.db differ
 
kitten.jpg DELETED
Binary file (422 kB)
 
sample_images/Abyssinian_27.jpg ADDED
sample_images/Abyssinian_29.jpg ADDED
sample_images/Abyssinian_67.jpg ADDED
sample_images/Abyssinian_7.jpg ADDED
sample_images/Bengal_108.jpg ADDED
sample_images/Bengal_109.jpg ADDED
sample_images/Bengal_19.jpg ADDED
sample_images/Bengal_21.jpg ADDED
sample_images/Birman_103.jpg ADDED
sample_images/Birman_113.jpg ADDED
sample_images/Birman_120.jpg ADDED
sample_images/Bombay_19.jpg ADDED
sample_images/Bombay_25.jpg ADDED
sample_images/British_Shorthair_57.jpg ADDED
sample_images/British_Shorthair_61.jpg ADDED
sample_images/Egyptian_Mau_57.jpg ADDED
sample_images/Egyptian_Mau_63.jpg ADDED
sample_images/american_bulldog_24.jpg ADDED
sample_images/american_bulldog_83.jpg ADDED
sample_images/american_pit_bull_terrier_52.jpg ADDED
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sample_images/basset_hound_12.jpg ADDED
sample_images/basset_hound_17.jpg ADDED
sample_images/beagle_120.jpg ADDED
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sample_images/staffordshire_bull_terrier_129.jpg ADDED
sample_images/staffordshire_bull_terrier_173.jpg ADDED
sample_images/wheaten_terrier_137.jpg ADDED
sample_images/wheaten_terrier_138.jpg ADDED
sample_images/yorkshire_terrier_189.jpg ADDED
sample_images/yorkshire_terrier_196.jpg ADDED
siamese.jpg DELETED
Binary file (440 kB)
 
train.ipynb CHANGED
@@ -2,114 +2,10 @@
2
  "cells": [
3
  {
4
  "cell_type": "code",
5
- "execution_count": 1,
6
  "id": "311970df-d109-452d-a843-c31048daf6e3",
7
  "metadata": {},
8
- "outputs": [
9
- {
10
- "name": "stderr",
11
- "output_type": "stream",
12
- "text": [
13
- "/home/camaro/anaconda3/envs/gradio/lib/python3.8/site-packages/torch/_tensor.py:1051: UserWarning: torch.solve is deprecated in favor of torch.linalg.solveand will be removed in a future PyTorch release.\n",
14
- "torch.linalg.solve has its arguments reversed and does not return the LU factorization.\n",
15
- "To get the LU factorization see torch.lu, which can be used with torch.lu_solve or torch.lu_unpack.\n",
16
- "X = torch.solve(B, A).solution\n",
17
- "should be replaced with\n",
18
- "X = torch.linalg.solve(A, B) (Triggered internally at ../aten/src/ATen/native/BatchLinearAlgebra.cpp:766.)\n",
19
- " ret = func(*args, **kwargs)\n"
20
- ]
21
- },
22
- {
23
- "data": {
24
- "text/html": [
25
- "<table border=\"1\" class=\"dataframe\">\n",
26
- " <thead>\n",
27
- " <tr style=\"text-align: left;\">\n",
28
- " <th>epoch</th>\n",
29
- " <th>train_loss</th>\n",
30
- " <th>valid_loss</th>\n",
31
- " <th>accuracy</th>\n",
32
- " <th>time</th>\n",
33
- " </tr>\n",
34
- " </thead>\n",
35
- " <tbody>\n",
36
- " <tr>\n",
37
- " <td>0</td>\n",
38
- " <td>1.359868</td>\n",
39
- " <td>0.263231</td>\n",
40
- " <td>0.918809</td>\n",
41
- " <td>00:27</td>\n",
42
- " </tr>\n",
43
- " </tbody>\n",
44
- "</table>"
45
- ],
46
- "text/plain": [
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- "<IPython.core.display.HTML object>"
48
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51
- "output_type": "display_data"
52
- },
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- {
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- "data": {
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- "text/html": [
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- "<table border=\"1\" class=\"dataframe\">\n",
57
- " <thead>\n",
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- " <tr style=\"text-align: left;\">\n",
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- " <th>epoch</th>\n",
60
- " <th>train_loss</th>\n",
61
- " <th>valid_loss</th>\n",
62
- " <th>accuracy</th>\n",
63
- " <th>time</th>\n",
64
- " </tr>\n",
65
- " </thead>\n",
66
- " <tbody>\n",
67
- " <tr>\n",
68
- " <td>0</td>\n",
69
- " <td>0.338471</td>\n",
70
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71
- " <td>0.929635</td>\n",
72
- " <td>00:30</td>\n",
73
- " </tr>\n",
74
- " <tr>\n",
75
- " <td>1</td>\n",
76
- " <td>0.291378</td>\n",
77
- " <td>0.262474</td>\n",
78
- " <td>0.927605</td>\n",
79
- " <td>00:30</td>\n",
80
- " </tr>\n",
81
- " <tr>\n",
82
- " <td>2</td>\n",
83
- " <td>0.219857</td>\n",
84
- " <td>0.189212</td>\n",
85
- " <td>0.947226</td>\n",
86
- " <td>00:30</td>\n",
87
- " </tr>\n",
88
- " <tr>\n",
89
- " <td>3</td>\n",
90
- " <td>0.148120</td>\n",
91
- " <td>0.188948</td>\n",
92
- " <td>0.952639</td>\n",
93
- " <td>00:30</td>\n",
94
- " </tr>\n",
95
- " <tr>\n",
96
- " <td>4</td>\n",
97
- " <td>0.100334</td>\n",
98
- " <td>0.183129</td>\n",
99
- " <td>0.951962</td>\n",
100
- " <td>00:29</td>\n",
101
- " </tr>\n",
102
- " </tbody>\n",
103
- "</table>"
104
- ],
105
- "text/plain": [
106
- "<IPython.core.display.HTML object>"
107
- ]
108
- },
109
- "metadata": {},
110
- "output_type": "display_data"
111
- }
112
- ],
113
  "source": [
114
  "from fastai.vision.all import *\n",
115
  "path = untar_data(URLs.PETS)\n",
@@ -122,17 +18,18 @@
122
  },
123
  {
124
  "cell_type": "code",
125
- "execution_count": 2,
126
  "id": "ef4ffc95-6051-4354-af16-25477b279657",
127
  "metadata": {},
128
  "outputs": [],
129
  "source": [
 
130
  "learn = load_learner('export.pkl')"
131
  ]
132
  },
133
  {
134
  "cell_type": "code",
135
- "execution_count": 3,
136
  "id": "49289d4b-7e8c-4264-bb03-8a0d851caf1c",
137
  "metadata": {},
138
  "outputs": [],
@@ -146,7 +43,48 @@
146
  },
147
  {
148
  "cell_type": "code",
149
- "execution_count": 4,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
150
  "id": "62fe5dc0-5fd1-4cc7-af8d-a325e3915173",
151
  "metadata": {},
152
  "outputs": [
@@ -154,27 +92,221 @@
154
  "name": "stdout",
155
  "output_type": "stream",
156
  "text": [
157
- "Running on local URL: http://127.0.0.1:7860/\n"
 
 
 
158
  ]
159
  },
160
  {
161
- "ename": "MissingSchema",
162
- "evalue": "Invalid URL 'None': No schema supplied. Perhaps you meant http://None?",
163
- "output_type": "error",
164
- "traceback": [
165
- "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
166
- "\u001b[0;31mMissingSchema\u001b[0m Traceback (most recent call last)",
167
- "\u001b[0;32m/tmp/ipykernel_390932/871079571.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m 8\u001b[0m \u001b[0menable_queue\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 9\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 10\u001b[0;31m \u001b[0mgr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mInterface\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfn\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mpredict\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0minputs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mgr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minputs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mImage\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m512\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m512\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0moutputs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mgr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moutputs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mLabel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnum_top_classes\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mtitle\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtitle\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mdescription\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdescription\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0marticle\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0marticle\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mexamples\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mexamples\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0minterpretation\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0minterpretation\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0menable_queue\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0menable_queue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlaunch\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mshare\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
168
- "\u001b[0;32m~/anaconda3/envs/gradio/lib/python3.8/site-packages/gradio/interface.py\u001b[0m in \u001b[0;36mlaunch\u001b[0;34m(self, inline, inbrowser, share, debug, auth, auth_message, private_endpoint, prevent_thread_lock, show_error)\u001b[0m\n\u001b[1;32m 626\u001b[0m \u001b[0;31m# Embed the remote interface page if on google colab; otherwise, embed the local page.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 627\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mshare\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 628\u001b[0;31m \u001b[0;32mwhile\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mnetworking\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0murl_ok\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mshare_url\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 629\u001b[0m \u001b[0mtime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msleep\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 630\u001b[0m \u001b[0mdisplay\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mIFrame\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mshare_url\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mwidth\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwidth\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mheight\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mheight\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
169
- "\u001b[0;32m~/anaconda3/envs/gradio/lib/python3.8/site-packages/gradio/networking.py\u001b[0m in \u001b[0;36murl_ok\u001b[0;34m(url)\u001b[0m\n\u001b[1;32m 500\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0m_\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m5\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 501\u001b[0m \u001b[0mtime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msleep\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m.500\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 502\u001b[0;31m \u001b[0mr\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mrequests\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhead\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0murl\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 503\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstatus_code\u001b[0m \u001b[0;32min\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;36m200\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m401\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m302\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;31m# 401 or 302 if auth is set\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 504\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
170
- "\u001b[0;32m~/anaconda3/envs/gradio/lib/python3.8/site-packages/requests/api.py\u001b[0m in \u001b[0;36mhead\u001b[0;34m(url, **kwargs)\u001b[0m\n\u001b[1;32m 100\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 101\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msetdefault\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'allow_redirects'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 102\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mrequest\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'head'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0murl\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 103\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 104\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
171
- "\u001b[0;32m~/anaconda3/envs/gradio/lib/python3.8/site-packages/requests/api.py\u001b[0m in \u001b[0;36mrequest\u001b[0;34m(method, url, **kwargs)\u001b[0m\n\u001b[1;32m 59\u001b[0m \u001b[0;31m# cases, and look like a memory leak in others.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 60\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0msessions\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mSession\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0msession\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 61\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0msession\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrequest\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmethod\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmethod\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0murl\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0murl\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 62\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 63\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
172
- "\u001b[0;32m~/anaconda3/envs/gradio/lib/python3.8/site-packages/requests/sessions.py\u001b[0m in \u001b[0;36mrequest\u001b[0;34m(self, method, url, params, data, headers, cookies, files, auth, timeout, allow_redirects, proxies, hooks, stream, verify, cert, json)\u001b[0m\n\u001b[1;32m 526\u001b[0m \u001b[0mhooks\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mhooks\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 527\u001b[0m )\n\u001b[0;32m--> 528\u001b[0;31m \u001b[0mprep\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprepare_request\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mreq\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 529\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 530\u001b[0m \u001b[0mproxies\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mproxies\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
173
- "\u001b[0;32m~/anaconda3/envs/gradio/lib/python3.8/site-packages/requests/sessions.py\u001b[0m in \u001b[0;36mprepare_request\u001b[0;34m(self, request)\u001b[0m\n\u001b[1;32m 454\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 455\u001b[0m \u001b[0mp\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mPreparedRequest\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 456\u001b[0;31m p.prepare(\n\u001b[0m\u001b[1;32m 457\u001b[0m \u001b[0mmethod\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mrequest\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmethod\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mupper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 458\u001b[0m \u001b[0murl\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mrequest\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0murl\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
174
- "\u001b[0;32m~/anaconda3/envs/gradio/lib/python3.8/site-packages/requests/models.py\u001b[0m in \u001b[0;36mprepare\u001b[0;34m(self, method, url, headers, files, data, params, auth, cookies, hooks, json)\u001b[0m\n\u001b[1;32m 314\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 315\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprepare_method\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmethod\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 316\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprepare_url\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0murl\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mparams\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 317\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprepare_headers\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mheaders\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 318\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprepare_cookies\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcookies\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
175
- "\u001b[0;32m~/anaconda3/envs/gradio/lib/python3.8/site-packages/requests/models.py\u001b[0m in \u001b[0;36mprepare_url\u001b[0;34m(self, url, params)\u001b[0m\n\u001b[1;32m 388\u001b[0m \u001b[0merror\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0merror\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mformat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mto_native_string\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0murl\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'utf8'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 389\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 390\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mMissingSchema\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0merror\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 391\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 392\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mhost\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
176
- "\u001b[0;31mMissingSchema\u001b[0m: Invalid URL 'None': No schema supplied. Perhaps you meant http://None?"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
177
  ]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
178
  }
179
  ],
180
  "source": [
@@ -183,7 +315,8 @@
183
  "title = \"Pet Breed Classifier\"\n",
184
  "description = \"A pet breed classifier trained on the Oxford Pets dataset\"\n",
185
  "interpretation='default'\n",
186
- "examples = ['siamese.jpg', 'kitten.jpg']\n",
 
187
  "article=\"<p style='text-align: center'><a href='https://dicksonneoh.com' target='_blank'>Blog post</a></p>\"\n",
188
  "enable_queue=True\n",
189
  "\n",
 
2
  "cells": [
3
  {
4
  "cell_type": "code",
5
+ "execution_count": null,
6
  "id": "311970df-d109-452d-a843-c31048daf6e3",
7
  "metadata": {},
8
+ "outputs": [],
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
9
  "source": [
10
  "from fastai.vision.all import *\n",
11
  "path = untar_data(URLs.PETS)\n",
 
18
  },
19
  {
20
  "cell_type": "code",
21
+ "execution_count": 4,
22
  "id": "ef4ffc95-6051-4354-af16-25477b279657",
23
  "metadata": {},
24
  "outputs": [],
25
  "source": [
26
+ "from fastai.vision.all import *\n",
27
  "learn = load_learner('export.pkl')"
28
  ]
29
  },
30
  {
31
  "cell_type": "code",
32
+ "execution_count": 5,
33
  "id": "49289d4b-7e8c-4264-bb03-8a0d851caf1c",
34
  "metadata": {},
35
  "outputs": [],
 
43
  },
44
  {
45
  "cell_type": "code",
46
+ "execution_count": 6,
47
+ "id": "a6b53fe8-ded5-4048-afd7-e488dc884aec",
48
+ "metadata": {},
49
+ "outputs": [
50
+ {
51
+ "name": "stdout",
52
+ "output_type": "stream",
53
+ "text": [
54
+ "american_pit_bull_terrier_52.jpg\n",
55
+ "staffordshire_bull_terrier_129.jpg\n",
56
+ "wheaten_terrier_138.jpg\n",
57
+ "staffordshire_bull_terrier_172.jpg\n",
58
+ "yorkshire_terrier_189.jpg\n",
59
+ "Abyssinian_67.jpg\n",
60
+ "basset_hound_12.jpg\n",
61
+ "american_bulldog_24.jpg\n",
62
+ "beagle_120.jpg\n",
63
+ "staffordshire_bull_terrier_173.jpg\n",
64
+ "beagle_125.jpg\n",
65
+ "Bengal_21.jpg\n",
66
+ "basset_hound_17.jpg\n",
67
+ "staffordshire_bull_terrier_130.jpg\n",
68
+ "Abyssinian_7.jpg\n",
69
+ "american_bulldog_83.jpg\n",
70
+ "Birman_103.jpg\n",
71
+ "Bengal_19.jpg\n",
72
+ "american_pit_bull_terrier_76.jpg\n",
73
+ "yorkshire_terrier_196.jpg\n",
74
+ "wheaten_terrier_137.jpg\n"
75
+ ]
76
+ }
77
+ ],
78
+ "source": [
79
+ "import os\n",
80
+ "for root, dirs, files in os.walk(r'sample_image/'):\n",
81
+ " for filename in files:\n",
82
+ " print(filename)"
83
+ ]
84
+ },
85
+ {
86
+ "cell_type": "code",
87
+ "execution_count": 14,
88
  "id": "62fe5dc0-5fd1-4cc7-af8d-a325e3915173",
89
  "metadata": {},
90
  "outputs": [
 
92
  "name": "stdout",
93
  "output_type": "stream",
94
  "text": [
95
+ "Running on local URL: http://127.0.0.1:7863/\n",
96
+ "Running on public URL: https://41046.gradio.app\n",
97
+ "\n",
98
+ "This share link will expire in 72 hours. To get longer links, send an email to: [email protected]\n"
99
  ]
100
  },
101
  {
102
+ "data": {
103
+ "text/html": [
104
+ "\n",
105
+ " <iframe\n",
106
+ " width=\"900\"\n",
107
+ " height=\"500\"\n",
108
+ " src=\"https://41046.gradio.app\"\n",
109
+ " frameborder=\"0\"\n",
110
+ " allowfullscreen\n",
111
+ " \n",
112
+ " ></iframe>\n",
113
+ " "
114
+ ],
115
+ "text/plain": [
116
+ "<IPython.lib.display.IFrame at 0x7f4bf02fd190>"
117
+ ]
118
+ },
119
+ "metadata": {},
120
+ "output_type": "display_data"
121
+ },
122
+ {
123
+ "data": {
124
+ "text/plain": [
125
+ "(<Flask 'gradio.networking'>,\n",
126
+ " 'http://127.0.0.1:7863/',\n",
127
+ " 'https://41046.gradio.app')"
128
+ ]
129
+ },
130
+ "execution_count": 14,
131
+ "metadata": {},
132
+ "output_type": "execute_result"
133
+ },
134
+ {
135
+ "name": "stderr",
136
+ "output_type": "stream",
137
+ "text": [
138
+ "[2021-11-19 20:09:32,457] ERROR in app: Exception on /file/sample_images/staffordshire_bull_terrier_172.jpg [GET]\n",
139
+ "Traceback (most recent call last):\n",
140
+ " File \"/home/dnth/anaconda3/envs/gradio/lib/python3.8/site-packages/flask/app.py\", line 2073, in wsgi_app\n",
141
+ " response = self.full_dispatch_request()\n",
142
+ " File \"/home/dnth/anaconda3/envs/gradio/lib/python3.8/site-packages/flask/app.py\", line 1518, in full_dispatch_request\n",
143
+ " rv = self.handle_user_exception(e)\n",
144
+ " File \"/home/dnth/anaconda3/envs/gradio/lib/python3.8/site-packages/flask_cors/extension.py\", line 165, in wrapped_function\n",
145
+ " return cors_after_request(app.make_response(f(*args, **kwargs)))\n",
146
+ " File \"/home/dnth/anaconda3/envs/gradio/lib/python3.8/site-packages/flask/app.py\", line 1516, in full_dispatch_request\n",
147
+ " rv = self.dispatch_request()\n",
148
+ " File \"/home/dnth/anaconda3/envs/gradio/lib/python3.8/site-packages/flask/app.py\", line 1502, in dispatch_request\n",
149
+ " return self.ensure_sync(self.view_functions[rule.endpoint])(**req.view_args)\n",
150
+ " File \"/home/dnth/anaconda3/envs/gradio/lib/python3.8/site-packages/gradio/networking.py\", line 93, in wrapper\n",
151
+ " return func(*args, **kwargs)\n",
152
+ " File \"/home/dnth/anaconda3/envs/gradio/lib/python3.8/site-packages/gradio/networking.py\", line 386, in file\n",
153
+ " return send_file(os.path.join(app.cwd, path))\n",
154
+ " File \"/home/dnth/anaconda3/envs/gradio/lib/python3.8/site-packages/flask/helpers.py\", line 612, in send_file\n",
155
+ " return werkzeug.utils.send_file(\n",
156
+ " File \"/home/dnth/anaconda3/envs/gradio/lib/python3.8/site-packages/werkzeug/utils.py\", line 701, in send_file\n",
157
+ " stat = os.stat(path)\n",
158
+ "FileNotFoundError: [Errno 2] No such file or directory: '/home/dnth/Desktop/webdemos/webdemo-pets-classifier/sample_images/staffordshire_bull_terrier_172.jpg'\n"
159
  ]
160
+ },
161
+ {
162
+ "data": {
163
+ "text/html": [],
164
+ "text/plain": [
165
+ "<IPython.core.display.HTML object>"
166
+ ]
167
+ },
168
+ "metadata": {},
169
+ "output_type": "display_data"
170
+ },
171
+ {
172
+ "name": "stderr",
173
+ "output_type": "stream",
174
+ "text": [
175
+ "[2021-11-19 20:09:37,305] ERROR in app: Exception on /file/sample_images/staffordshire_bull_terrier_172.jpg [GET]\n",
176
+ "Traceback (most recent call last):\n",
177
+ " File \"/home/dnth/anaconda3/envs/gradio/lib/python3.8/site-packages/flask/app.py\", line 2073, in wsgi_app\n",
178
+ " response = self.full_dispatch_request()\n",
179
+ " File \"/home/dnth/anaconda3/envs/gradio/lib/python3.8/site-packages/flask/app.py\", line 1518, in full_dispatch_request\n",
180
+ " rv = self.handle_user_exception(e)\n",
181
+ " File \"/home/dnth/anaconda3/envs/gradio/lib/python3.8/site-packages/flask_cors/extension.py\", line 165, in wrapped_function\n",
182
+ " return cors_after_request(app.make_response(f(*args, **kwargs)))\n",
183
+ " File \"/home/dnth/anaconda3/envs/gradio/lib/python3.8/site-packages/flask/app.py\", line 1516, in full_dispatch_request\n",
184
+ " rv = self.dispatch_request()\n",
185
+ " File \"/home/dnth/anaconda3/envs/gradio/lib/python3.8/site-packages/flask/app.py\", line 1502, in dispatch_request\n",
186
+ " return self.ensure_sync(self.view_functions[rule.endpoint])(**req.view_args)\n",
187
+ " File \"/home/dnth/anaconda3/envs/gradio/lib/python3.8/site-packages/gradio/networking.py\", line 93, in wrapper\n",
188
+ " return func(*args, **kwargs)\n",
189
+ " File \"/home/dnth/anaconda3/envs/gradio/lib/python3.8/site-packages/gradio/networking.py\", line 386, in file\n",
190
+ " return send_file(os.path.join(app.cwd, path))\n",
191
+ " File \"/home/dnth/anaconda3/envs/gradio/lib/python3.8/site-packages/flask/helpers.py\", line 612, in send_file\n",
192
+ " return werkzeug.utils.send_file(\n",
193
+ " File \"/home/dnth/anaconda3/envs/gradio/lib/python3.8/site-packages/werkzeug/utils.py\", line 701, in send_file\n",
194
+ " stat = os.stat(path)\n",
195
+ "FileNotFoundError: [Errno 2] No such file or directory: '/home/dnth/Desktop/webdemos/webdemo-pets-classifier/sample_images/staffordshire_bull_terrier_172.jpg'\n"
196
+ ]
197
+ },
198
+ {
199
+ "data": {
200
+ "text/html": [],
201
+ "text/plain": [
202
+ "<IPython.core.display.HTML object>"
203
+ ]
204
+ },
205
+ "metadata": {},
206
+ "output_type": "display_data"
207
+ },
208
+ {
209
+ "name": "stderr",
210
+ "output_type": "stream",
211
+ "text": [
212
+ "[2021-11-19 20:09:39,059] ERROR in app: Exception on /api/interpret/ [POST]\n",
213
+ "Traceback (most recent call last):\n",
214
+ " File \"/home/dnth/anaconda3/envs/gradio/lib/python3.8/site-packages/gradio/inputs.py\", line 795, in _segment_by_slic\n",
215
+ " from skimage.segmentation import slic\n",
216
+ "ModuleNotFoundError: No module named 'skimage'\n",
217
+ "\n",
218
+ "During handling of the above exception, another exception occurred:\n",
219
+ "\n",
220
+ "Traceback (most recent call last):\n",
221
+ " File \"/home/dnth/anaconda3/envs/gradio/lib/python3.8/site-packages/flask/app.py\", line 2073, in wsgi_app\n",
222
+ " response = self.full_dispatch_request()\n",
223
+ " File \"/home/dnth/anaconda3/envs/gradio/lib/python3.8/site-packages/flask/app.py\", line 1518, in full_dispatch_request\n",
224
+ " rv = self.handle_user_exception(e)\n",
225
+ " File \"/home/dnth/anaconda3/envs/gradio/lib/python3.8/site-packages/flask_cors/extension.py\", line 165, in wrapped_function\n",
226
+ " return cors_after_request(app.make_response(f(*args, **kwargs)))\n",
227
+ " File \"/home/dnth/anaconda3/envs/gradio/lib/python3.8/site-packages/flask/app.py\", line 1516, in full_dispatch_request\n",
228
+ " rv = self.dispatch_request()\n",
229
+ " File \"/home/dnth/anaconda3/envs/gradio/lib/python3.8/site-packages/flask/app.py\", line 1502, in dispatch_request\n",
230
+ " return self.ensure_sync(self.view_functions[rule.endpoint])(**req.view_args)\n",
231
+ " File \"/home/dnth/anaconda3/envs/gradio/lib/python3.8/site-packages/gradio/networking.py\", line 93, in wrapper\n",
232
+ " return func(*args, **kwargs)\n",
233
+ " File \"/home/dnth/anaconda3/envs/gradio/lib/python3.8/site-packages/gradio/networking.py\", line 368, in interpret\n",
234
+ " interpretation_scores, alternative_outputs = app.interface.interpret(\n",
235
+ " File \"/home/dnth/anaconda3/envs/gradio/lib/python3.8/site-packages/gradio/interface.py\", line 393, in interpret\n",
236
+ " tokens, neighbor_values, masks = input_component.tokenize(\n",
237
+ " File \"/home/dnth/anaconda3/envs/gradio/lib/python3.8/site-packages/gradio/inputs.py\", line 819, in tokenize\n",
238
+ " segments_slic, resized_and_cropped_image = self._segment_by_slic(x)\n",
239
+ " File \"/home/dnth/anaconda3/envs/gradio/lib/python3.8/site-packages/gradio/inputs.py\", line 797, in _segment_by_slic\n",
240
+ " raise ValueError(\n",
241
+ "ValueError: Error: running this interpretation for images requires scikit-image, please install it first.\n"
242
+ ]
243
+ },
244
+ {
245
+ "data": {
246
+ "text/html": [],
247
+ "text/plain": [
248
+ "<IPython.core.display.HTML object>"
249
+ ]
250
+ },
251
+ "metadata": {},
252
+ "output_type": "display_data"
253
+ },
254
+ {
255
+ "data": {
256
+ "text/html": [],
257
+ "text/plain": [
258
+ "<IPython.core.display.HTML object>"
259
+ ]
260
+ },
261
+ "metadata": {},
262
+ "output_type": "display_data"
263
+ },
264
+ {
265
+ "data": {
266
+ "text/html": [],
267
+ "text/plain": [
268
+ "<IPython.core.display.HTML object>"
269
+ ]
270
+ },
271
+ "metadata": {},
272
+ "output_type": "display_data"
273
+ },
274
+ {
275
+ "name": "stderr",
276
+ "output_type": "stream",
277
+ "text": [
278
+ "[2021-11-19 20:09:57,928] ERROR in app: Exception on /file/sample_images/staffordshire_bull_terrier_130.jpg [GET]\n",
279
+ "Traceback (most recent call last):\n",
280
+ " File \"/home/dnth/anaconda3/envs/gradio/lib/python3.8/site-packages/flask/app.py\", line 2073, in wsgi_app\n",
281
+ " response = self.full_dispatch_request()\n",
282
+ " File \"/home/dnth/anaconda3/envs/gradio/lib/python3.8/site-packages/flask/app.py\", line 1518, in full_dispatch_request\n",
283
+ " rv = self.handle_user_exception(e)\n",
284
+ " File \"/home/dnth/anaconda3/envs/gradio/lib/python3.8/site-packages/flask_cors/extension.py\", line 165, in wrapped_function\n",
285
+ " return cors_after_request(app.make_response(f(*args, **kwargs)))\n",
286
+ " File \"/home/dnth/anaconda3/envs/gradio/lib/python3.8/site-packages/flask/app.py\", line 1516, in full_dispatch_request\n",
287
+ " rv = self.dispatch_request()\n",
288
+ " File \"/home/dnth/anaconda3/envs/gradio/lib/python3.8/site-packages/flask/app.py\", line 1502, in dispatch_request\n",
289
+ " return self.ensure_sync(self.view_functions[rule.endpoint])(**req.view_args)\n",
290
+ " File \"/home/dnth/anaconda3/envs/gradio/lib/python3.8/site-packages/gradio/networking.py\", line 93, in wrapper\n",
291
+ " return func(*args, **kwargs)\n",
292
+ " File \"/home/dnth/anaconda3/envs/gradio/lib/python3.8/site-packages/gradio/networking.py\", line 386, in file\n",
293
+ " return send_file(os.path.join(app.cwd, path))\n",
294
+ " File \"/home/dnth/anaconda3/envs/gradio/lib/python3.8/site-packages/flask/helpers.py\", line 612, in send_file\n",
295
+ " return werkzeug.utils.send_file(\n",
296
+ " File \"/home/dnth/anaconda3/envs/gradio/lib/python3.8/site-packages/werkzeug/utils.py\", line 701, in send_file\n",
297
+ " stat = os.stat(path)\n",
298
+ "FileNotFoundError: [Errno 2] No such file or directory: '/home/dnth/Desktop/webdemos/webdemo-pets-classifier/sample_images/staffordshire_bull_terrier_130.jpg'\n"
299
+ ]
300
+ },
301
+ {
302
+ "data": {
303
+ "text/html": [],
304
+ "text/plain": [
305
+ "<IPython.core.display.HTML object>"
306
+ ]
307
+ },
308
+ "metadata": {},
309
+ "output_type": "display_data"
310
  }
311
  ],
312
  "source": [
 
315
  "title = \"Pet Breed Classifier\"\n",
316
  "description = \"A pet breed classifier trained on the Oxford Pets dataset\"\n",
317
  "interpretation='default'\n",
318
+ "# examples = ['siamese.jpg', 'kitten.jpg']\n",
319
+ "examples = [\"sample_images/\"+file for file in files] \n",
320
  "article=\"<p style='text-align: center'><a href='https://dicksonneoh.com' target='_blank'>Blog post</a></p>\"\n",
321
  "enable_queue=True\n",
322
  "\n",