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.ipynb_checkpoints/app-checkpoint.ipynb ADDED
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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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+ "id": "33221fc8",
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+ "metadata": {},
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+ "outputs": [],
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+ "source": [
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+ "#|default_exp app"
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+ ]
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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": "432fac7c",
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+ "metadata": {
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+ "scrolled": false
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+ },
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+ "outputs": [],
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+ "source": [
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+ "#|export\n",
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+ "from fastai.vision.all import * \n",
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+ "import gradio as gr\n",
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+ "\n",
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+ "def is_cat(x): return x[0].isupper()"
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+ ]
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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": "9469ce04",
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+ "metadata": {},
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+ "outputs": [
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+ {
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+ "data": {
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+ "image/png": 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\n",
38
+ "text/plain": [
39
+ "PILImage mode=RGB size=192x192"
40
+ ]
41
+ },
42
+ "execution_count": 3,
43
+ "metadata": {},
44
+ "output_type": "execute_result"
45
+ }
46
+ ],
47
+ "source": [
48
+ "im = PILImage.create('dog.jpg')\n",
49
+ "im.thumbnail((192,192))\n",
50
+ "im"
51
+ ]
52
+ },
53
+ {
54
+ "cell_type": "code",
55
+ "execution_count": 4,
56
+ "id": "a053e987",
57
+ "metadata": {},
58
+ "outputs": [],
59
+ "source": [
60
+ "#|export\n",
61
+ "learn = load_learner('model.pkl')"
62
+ ]
63
+ },
64
+ {
65
+ "cell_type": "code",
66
+ "execution_count": 5,
67
+ "id": "e1c6e116",
68
+ "metadata": {},
69
+ "outputs": [
70
+ {
71
+ "data": {
72
+ "text/html": [
73
+ "\n",
74
+ "<style>\n",
75
+ " /* Turns off some styling */\n",
76
+ " progress {\n",
77
+ " /* gets rid of default border in Firefox and Opera. */\n",
78
+ " border: none;\n",
79
+ " /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
80
+ " background-size: auto;\n",
81
+ " }\n",
82
+ " progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
83
+ " background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
84
+ " }\n",
85
+ " .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
86
+ " background: #F44336;\n",
87
+ " }\n",
88
+ "</style>\n"
89
+ ],
90
+ "text/plain": [
91
+ "<IPython.core.display.HTML object>"
92
+ ]
93
+ },
94
+ "metadata": {},
95
+ "output_type": "display_data"
96
+ },
97
+ {
98
+ "data": {
99
+ "text/html": [],
100
+ "text/plain": [
101
+ "<IPython.core.display.HTML object>"
102
+ ]
103
+ },
104
+ "metadata": {},
105
+ "output_type": "display_data"
106
+ },
107
+ {
108
+ "data": {
109
+ "text/plain": [
110
+ "('False', tensor(0), tensor([9.9999e-01, 1.0712e-05]))"
111
+ ]
112
+ },
113
+ "execution_count": 5,
114
+ "metadata": {},
115
+ "output_type": "execute_result"
116
+ }
117
+ ],
118
+ "source": [
119
+ "learn.predict(im)"
120
+ ]
121
+ },
122
+ {
123
+ "cell_type": "code",
124
+ "execution_count": 6,
125
+ "id": "0eedd0a2",
126
+ "metadata": {},
127
+ "outputs": [],
128
+ "source": [
129
+ "#|export\n",
130
+ "categories = ('Dog', 'Cat')\n",
131
+ "\n",
132
+ "def classify_image(img):\n",
133
+ " pred, idx, probs = learn.predict(img)\n",
134
+ " return dict(zip(categories, map(float, probs)))"
135
+ ]
136
+ },
137
+ {
138
+ "cell_type": "code",
139
+ "execution_count": 7,
140
+ "id": "d4cdea98",
141
+ "metadata": {},
142
+ "outputs": [
143
+ {
144
+ "data": {
145
+ "text/html": [
146
+ "\n",
147
+ "<style>\n",
148
+ " /* Turns off some styling */\n",
149
+ " progress {\n",
150
+ " /* gets rid of default border in Firefox and Opera. */\n",
151
+ " border: none;\n",
152
+ " /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
153
+ " background-size: auto;\n",
154
+ " }\n",
155
+ " progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
156
+ " background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
157
+ " }\n",
158
+ " .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
159
+ " background: #F44336;\n",
160
+ " }\n",
161
+ "</style>\n"
162
+ ],
163
+ "text/plain": [
164
+ "<IPython.core.display.HTML object>"
165
+ ]
166
+ },
167
+ "metadata": {},
168
+ "output_type": "display_data"
169
+ },
170
+ {
171
+ "data": {
172
+ "text/html": [],
173
+ "text/plain": [
174
+ "<IPython.core.display.HTML object>"
175
+ ]
176
+ },
177
+ "metadata": {},
178
+ "output_type": "display_data"
179
+ },
180
+ {
181
+ "data": {
182
+ "text/plain": [
183
+ "{'Dog': 0.9999892711639404, 'Cat': 1.0711974937294144e-05}"
184
+ ]
185
+ },
186
+ "execution_count": 7,
187
+ "metadata": {},
188
+ "output_type": "execute_result"
189
+ }
190
+ ],
191
+ "source": [
192
+ "classify_image(im)"
193
+ ]
194
+ },
195
+ {
196
+ "cell_type": "code",
197
+ "execution_count": 8,
198
+ "id": "85e8d85e",
199
+ "metadata": {},
200
+ "outputs": [
201
+ {
202
+ "name": "stdout",
203
+ "output_type": "stream",
204
+ "text": [
205
+ "Running on local URL: http://127.0.0.1:7860\n",
206
+ "\n",
207
+ "To create a public link, set `share=True` in `launch()`.\n"
208
+ ]
209
+ },
210
+ {
211
+ "data": {
212
+ "text/plain": []
213
+ },
214
+ "execution_count": 8,
215
+ "metadata": {},
216
+ "output_type": "execute_result"
217
+ }
218
+ ],
219
+ "source": [
220
+ "#|export\n",
221
+ "examples = ['dog.jpg', 'cat.jpg', 'dunno.jpg']\n",
222
+ "\n",
223
+ "intf = gr.Interface(fn = classify_image, inputs = 'image', outputs = 'label', examples= examples)\n",
224
+ "intf.launch(inline=False)"
225
+ ]
226
+ },
227
+ {
228
+ "cell_type": "markdown",
229
+ "id": "b05c4d66",
230
+ "metadata": {},
231
+ "source": [
232
+ "# export-"
233
+ ]
234
+ },
235
+ {
236
+ "cell_type": "code",
237
+ "execution_count": 12,
238
+ "id": "be78a72f",
239
+ "metadata": {},
240
+ "outputs": [
241
+ {
242
+ "name": "stdout",
243
+ "output_type": "stream",
244
+ "text": [
245
+ "Export successful\n"
246
+ ]
247
+ }
248
+ ],
249
+ "source": [
250
+ "import nbdev\n",
251
+ "nbdev.export.nb_export('app.ipynb', './')\n",
252
+ "print('Export successful')"
253
+ ]
254
+ },
255
+ {
256
+ "cell_type": "code",
257
+ "execution_count": 10,
258
+ "id": "744b90fd",
259
+ "metadata": {},
260
+ "outputs": [
261
+ {
262
+ "data": {
263
+ "text/plain": [
264
+ "'/Users/kazuyaaoki/.pyenv/versions/3.10.3/bin/python'"
265
+ ]
266
+ },
267
+ "execution_count": 10,
268
+ "metadata": {},
269
+ "output_type": "execute_result"
270
+ }
271
+ ],
272
+ "source": [
273
+ "import sys\n",
274
+ "sys.executable"
275
+ ]
276
+ },
277
+ {
278
+ "cell_type": "code",
279
+ "execution_count": 11,
280
+ "id": "48ae2566",
281
+ "metadata": {},
282
+ "outputs": [
283
+ {
284
+ "ename": "NameError",
285
+ "evalue": "name 'a' is not defined",
286
+ "output_type": "error",
287
+ "traceback": [
288
+ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
289
+ "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
290
+ "Input \u001b[0;32mIn [11]\u001b[0m, in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43ma\u001b[49m\n",
291
+ "\u001b[0;31mNameError\u001b[0m: name 'a' is not defined"
292
+ ]
293
+ }
294
+ ],
295
+ "source": [
296
+ "!/Users/kazuyaaoki/.pyenv/versions/3.10.3/bin/python -m pip install notebook2script"
297
+ ]
298
+ },
299
+ {
300
+ "cell_type": "code",
301
+ "execution_count": null,
302
+ "id": "bad4fdfd",
303
+ "metadata": {},
304
+ "outputs": [],
305
+ "source": []
306
+ }
307
+ ],
308
+ "metadata": {
309
+ "kernelspec": {
310
+ "display_name": "Python 3 (ipykernel)",
311
+ "language": "python",
312
+ "name": "python3"
313
+ },
314
+ "language_info": {
315
+ "codemirror_mode": {
316
+ "name": "ipython",
317
+ "version": 3
318
+ },
319
+ "file_extension": ".py",
320
+ "mimetype": "text/x-python",
321
+ "name": "python",
322
+ "nbconvert_exporter": "python",
323
+ "pygments_lexer": "ipython3",
324
+ "version": "3.10.3"
325
+ }
326
+ },
327
+ "nbformat": 4,
328
+ "nbformat_minor": 5
329
+ }
app.ipynb ADDED
@@ -0,0 +1,329 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "cells": [
3
+ {
4
+ "cell_type": "code",
5
+ "execution_count": 1,
6
+ "id": "33221fc8",
7
+ "metadata": {},
8
+ "outputs": [],
9
+ "source": [
10
+ "#|default_exp app"
11
+ ]
12
+ },
13
+ {
14
+ "cell_type": "code",
15
+ "execution_count": 4,
16
+ "id": "432fac7c",
17
+ "metadata": {
18
+ "scrolled": false
19
+ },
20
+ "outputs": [],
21
+ "source": [
22
+ "#|export\n",
23
+ "from fastai.vision.all import * \n",
24
+ "import gradio as gr\n",
25
+ "\n",
26
+ "def is_cat(x): return x[0].isupper()"
27
+ ]
28
+ },
29
+ {
30
+ "cell_type": "code",
31
+ "execution_count": 5,
32
+ "id": "9469ce04",
33
+ "metadata": {},
34
+ "outputs": [
35
+ {
36
+ "data": {
37
+ "image/png": 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\n",
38
+ "text/plain": [
39
+ "PILImage mode=RGB size=192x130"
40
+ ]
41
+ },
42
+ "execution_count": 5,
43
+ "metadata": {},
44
+ "output_type": "execute_result"
45
+ }
46
+ ],
47
+ "source": [
48
+ "im = PILImage.create('home_ramen.jpg')\n",
49
+ "im.thumbnail((192,192))\n",
50
+ "im"
51
+ ]
52
+ },
53
+ {
54
+ "cell_type": "code",
55
+ "execution_count": 6,
56
+ "id": "a053e987",
57
+ "metadata": {},
58
+ "outputs": [],
59
+ "source": [
60
+ "#|export\n",
61
+ "learn = load_learner('model.pkl')"
62
+ ]
63
+ },
64
+ {
65
+ "cell_type": "code",
66
+ "execution_count": 7,
67
+ "id": "e1c6e116",
68
+ "metadata": {},
69
+ "outputs": [
70
+ {
71
+ "data": {
72
+ "text/html": [
73
+ "\n",
74
+ "<style>\n",
75
+ " /* Turns off some styling */\n",
76
+ " progress {\n",
77
+ " /* gets rid of default border in Firefox and Opera. */\n",
78
+ " border: none;\n",
79
+ " /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
80
+ " background-size: auto;\n",
81
+ " }\n",
82
+ " progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
83
+ " background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
84
+ " }\n",
85
+ " .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
86
+ " background: #F44336;\n",
87
+ " }\n",
88
+ "</style>\n"
89
+ ],
90
+ "text/plain": [
91
+ "<IPython.core.display.HTML object>"
92
+ ]
93
+ },
94
+ "metadata": {},
95
+ "output_type": "display_data"
96
+ },
97
+ {
98
+ "data": {
99
+ "text/html": [],
100
+ "text/plain": [
101
+ "<IPython.core.display.HTML object>"
102
+ ]
103
+ },
104
+ "metadata": {},
105
+ "output_type": "display_data"
106
+ },
107
+ {
108
+ "data": {
109
+ "text/plain": [
110
+ "('家系ラーメン', tensor(0), tensor([1.0000e+00, 6.5286e-12]))"
111
+ ]
112
+ },
113
+ "execution_count": 7,
114
+ "metadata": {},
115
+ "output_type": "execute_result"
116
+ }
117
+ ],
118
+ "source": [
119
+ "learn.predict(im)"
120
+ ]
121
+ },
122
+ {
123
+ "cell_type": "code",
124
+ "execution_count": 9,
125
+ "id": "0eedd0a2",
126
+ "metadata": {},
127
+ "outputs": [],
128
+ "source": [
129
+ "#|export\n",
130
+ "categories = ('家系ラーメン', '醤油ラーメン')\n",
131
+ "\n",
132
+ "def classify_image(img):\n",
133
+ " pred, idx, probs = learn.predict(img)\n",
134
+ " return dict(zip(categories, map(float, probs)))"
135
+ ]
136
+ },
137
+ {
138
+ "cell_type": "code",
139
+ "execution_count": 10,
140
+ "id": "d4cdea98",
141
+ "metadata": {},
142
+ "outputs": [
143
+ {
144
+ "data": {
145
+ "text/html": [
146
+ "\n",
147
+ "<style>\n",
148
+ " /* Turns off some styling */\n",
149
+ " progress {\n",
150
+ " /* gets rid of default border in Firefox and Opera. */\n",
151
+ " border: none;\n",
152
+ " /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
153
+ " background-size: auto;\n",
154
+ " }\n",
155
+ " progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
156
+ " background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
157
+ " }\n",
158
+ " .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
159
+ " background: #F44336;\n",
160
+ " }\n",
161
+ "</style>\n"
162
+ ],
163
+ "text/plain": [
164
+ "<IPython.core.display.HTML object>"
165
+ ]
166
+ },
167
+ "metadata": {},
168
+ "output_type": "display_data"
169
+ },
170
+ {
171
+ "data": {
172
+ "text/html": [],
173
+ "text/plain": [
174
+ "<IPython.core.display.HTML object>"
175
+ ]
176
+ },
177
+ "metadata": {},
178
+ "output_type": "display_data"
179
+ },
180
+ {
181
+ "data": {
182
+ "text/plain": [
183
+ "{'家系ラーメン': 1.0, '醤油ラーメン': 6.528582362219648e-12}"
184
+ ]
185
+ },
186
+ "execution_count": 10,
187
+ "metadata": {},
188
+ "output_type": "execute_result"
189
+ }
190
+ ],
191
+ "source": [
192
+ "classify_image(im)"
193
+ ]
194
+ },
195
+ {
196
+ "cell_type": "code",
197
+ "execution_count": 11,
198
+ "id": "85e8d85e",
199
+ "metadata": {},
200
+ "outputs": [
201
+ {
202
+ "name": "stdout",
203
+ "output_type": "stream",
204
+ "text": [
205
+ "Running on local URL: http://127.0.0.1:7861\n",
206
+ "\n",
207
+ "To create a public link, set `share=True` in `launch()`.\n"
208
+ ]
209
+ },
210
+ {
211
+ "data": {
212
+ "text/plain": []
213
+ },
214
+ "execution_count": 11,
215
+ "metadata": {},
216
+ "output_type": "execute_result"
217
+ }
218
+ ],
219
+ "source": [
220
+ "#|export\n",
221
+ "examples = ['home_ramen.jpg', 'shoyu_ramen.jpg', 'jiro_ramen.jpeg']\n",
222
+ "\n",
223
+ "intf = gr.Interface(fn = classify_image, inputs = 'image', outputs = 'label', examples= examples)\n",
224
+ "intf.launch(inline=False)"
225
+ ]
226
+ },
227
+ {
228
+ "cell_type": "markdown",
229
+ "id": "b05c4d66",
230
+ "metadata": {},
231
+ "source": [
232
+ "# export-"
233
+ ]
234
+ },
235
+ {
236
+ "cell_type": "code",
237
+ "execution_count": 12,
238
+ "id": "be78a72f",
239
+ "metadata": {},
240
+ "outputs": [
241
+ {
242
+ "name": "stdout",
243
+ "output_type": "stream",
244
+ "text": [
245
+ "Export successful\n"
246
+ ]
247
+ }
248
+ ],
249
+ "source": [
250
+ "import nbdev\n",
251
+ "nbdev.export.nb_export('app.ipynb', './')\n",
252
+ "print('Export successful')"
253
+ ]
254
+ },
255
+ {
256
+ "cell_type": "code",
257
+ "execution_count": 10,
258
+ "id": "744b90fd",
259
+ "metadata": {},
260
+ "outputs": [
261
+ {
262
+ "data": {
263
+ "text/plain": [
264
+ "'/Users/kazuyaaoki/.pyenv/versions/3.10.3/bin/python'"
265
+ ]
266
+ },
267
+ "execution_count": 10,
268
+ "metadata": {},
269
+ "output_type": "execute_result"
270
+ }
271
+ ],
272
+ "source": [
273
+ "import sys\n",
274
+ "sys.executable"
275
+ ]
276
+ },
277
+ {
278
+ "cell_type": "code",
279
+ "execution_count": 11,
280
+ "id": "48ae2566",
281
+ "metadata": {},
282
+ "outputs": [
283
+ {
284
+ "ename": "NameError",
285
+ "evalue": "name 'a' is not defined",
286
+ "output_type": "error",
287
+ "traceback": [
288
+ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
289
+ "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
290
+ "Input \u001b[0;32mIn [11]\u001b[0m, in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43ma\u001b[49m\n",
291
+ "\u001b[0;31mNameError\u001b[0m: name 'a' is not defined"
292
+ ]
293
+ }
294
+ ],
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+ "source": [
296
+ "!/Users/kazuyaaoki/.pyenv/versions/3.10.3/bin/python -m pip install notebook2script"
297
+ ]
298
+ },
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+ {
300
+ "cell_type": "code",
301
+ "execution_count": null,
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+ "id": "bad4fdfd",
303
+ "metadata": {},
304
+ "outputs": [],
305
+ "source": []
306
+ }
307
+ ],
308
+ "metadata": {
309
+ "kernelspec": {
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+ "display_name": "Python 3 (ipykernel)",
311
+ "language": "python",
312
+ "name": "python3"
313
+ },
314
+ "language_info": {
315
+ "codemirror_mode": {
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+ "name": "ipython",
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+ "version": 3
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+ },
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+ "file_extension": ".py",
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+ "mimetype": "text/x-python",
321
+ "name": "python",
322
+ "nbconvert_exporter": "python",
323
+ "pygments_lexer": "ipython3",
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+ "version": "3.10.3"
325
+ }
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+ },
327
+ "nbformat": 4,
328
+ "nbformat_minor": 5
329
+ }
app.py ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb.
2
+
3
+ # %% auto 0
4
+ __all__ = ['learn', 'categories', 'examples', 'intf', 'is_cat', 'classify_image']
5
+
6
+ # %% app.ipynb 1
7
+ from fastai.vision.all import *
8
+ import gradio as gr
9
+
10
+ def is_cat(x): return x[0].isupper()
11
+
12
+ # %% app.ipynb 3
13
+ learn = load_learner('model.pkl')
14
+
15
+ # %% app.ipynb 5
16
+ categories = ('家系ラーメン', '醤油ラーメン')
17
+
18
+ def classify_image(img):
19
+ pred, idx, probs = learn.predict(img)
20
+ return dict(zip(categories, map(float, probs)))
21
+
22
+ # %% app.ipynb 7
23
+ examples = ['home_ramen.jpg', 'cat.jpg', 'dunno.jpg']
24
+
25
+ intf = gr.Interface(fn = classify_image, inputs = 'image', outputs = 'label', examples= examples)
26
+ intf.launch(inline=False)
home_ramen.jpg ADDED
jiro_ramen.jpeg ADDED
model.pkl ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:fd7743376c7580db0d27706700e57db24347e77fe6030d45bae5083ded221bed
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+ size 46960582
requirements.txt ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ fastbook
2
+ gradio
3
+ fastai
4
+
shoyu_ramen.jpg ADDED