trtrgfh
commited on
Commit
•
1431cff
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Parent(s):
08b554d
tracked
Browse files- .gitattributes +1 -0
- .ipynb_checkpoints/app-checkpoint.ipynb +300 -0
- app.ipynb +300 -0
- app.py +26 -4
- cat1.jpg +0 -0
- cat2.jpg +0 -0
- dog1.jpg +0 -0
- dog2.jpg +0 -0
- dog3.jpg +0 -0
- model.pkl +3 -0
- model.pkl:Zone.Identifier +4 -0
.gitattributes
CHANGED
@@ -32,3 +32,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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+
model.pkl filter=lfs diff=lfs merge=lfs -text
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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": "0f99f6e4",
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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": "e0443b8b",
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"metadata": {},
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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):\n",
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" 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": "54d9aa2b",
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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",
|
37 |
+
"text/plain": [
|
38 |
+
"PILImage mode=RGB size=192x191"
|
39 |
+
]
|
40 |
+
},
|
41 |
+
"execution_count": 3,
|
42 |
+
"metadata": {},
|
43 |
+
"output_type": "execute_result"
|
44 |
+
}
|
45 |
+
],
|
46 |
+
"source": [
|
47 |
+
"im = PILImage.create(\"dog1.jpg\")\n",
|
48 |
+
"im.thumbnail((192, 192))\n",
|
49 |
+
"im"
|
50 |
+
]
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"cell_type": "code",
|
54 |
+
"execution_count": 4,
|
55 |
+
"id": "280b6000",
|
56 |
+
"metadata": {},
|
57 |
+
"outputs": [],
|
58 |
+
"source": [
|
59 |
+
"#|export\n",
|
60 |
+
"learn = load_learner(\"model.pkl\")"
|
61 |
+
]
|
62 |
+
},
|
63 |
+
{
|
64 |
+
"cell_type": "code",
|
65 |
+
"execution_count": 5,
|
66 |
+
"id": "f2525833",
|
67 |
+
"metadata": {},
|
68 |
+
"outputs": [
|
69 |
+
{
|
70 |
+
"data": {
|
71 |
+
"text/html": [
|
72 |
+
"\n",
|
73 |
+
"<style>\n",
|
74 |
+
" /* Turns off some styling */\n",
|
75 |
+
" progress {\n",
|
76 |
+
" /* gets rid of default border in Firefox and Opera. */\n",
|
77 |
+
" border: none;\n",
|
78 |
+
" /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
|
79 |
+
" background-size: auto;\n",
|
80 |
+
" }\n",
|
81 |
+
" progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
|
82 |
+
" background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
|
83 |
+
" }\n",
|
84 |
+
" .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
|
85 |
+
" background: #F44336;\n",
|
86 |
+
" }\n",
|
87 |
+
"</style>\n"
|
88 |
+
],
|
89 |
+
"text/plain": [
|
90 |
+
"<IPython.core.display.HTML object>"
|
91 |
+
]
|
92 |
+
},
|
93 |
+
"metadata": {},
|
94 |
+
"output_type": "display_data"
|
95 |
+
},
|
96 |
+
{
|
97 |
+
"data": {
|
98 |
+
"text/html": [],
|
99 |
+
"text/plain": [
|
100 |
+
"<IPython.core.display.HTML object>"
|
101 |
+
]
|
102 |
+
},
|
103 |
+
"metadata": {},
|
104 |
+
"output_type": "display_data"
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"data": {
|
108 |
+
"text/plain": [
|
109 |
+
"('False', TensorBase(0), TensorBase([1.0000e+00, 8.7832e-07]))"
|
110 |
+
]
|
111 |
+
},
|
112 |
+
"execution_count": 5,
|
113 |
+
"metadata": {},
|
114 |
+
"output_type": "execute_result"
|
115 |
+
}
|
116 |
+
],
|
117 |
+
"source": [
|
118 |
+
"learn.predict(im)"
|
119 |
+
]
|
120 |
+
},
|
121 |
+
{
|
122 |
+
"cell_type": "code",
|
123 |
+
"execution_count": 6,
|
124 |
+
"id": "ab75b01f",
|
125 |
+
"metadata": {},
|
126 |
+
"outputs": [],
|
127 |
+
"source": [
|
128 |
+
"#|export\n",
|
129 |
+
"categories = (\"Dog\", \"Cat\")\n",
|
130 |
+
"\n",
|
131 |
+
"def classify_image(img):\n",
|
132 |
+
" pred, idx, probs = learn.predict(img)\n",
|
133 |
+
" return dict(zip(categories, map(float, probs)))"
|
134 |
+
]
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"cell_type": "code",
|
138 |
+
"execution_count": 7,
|
139 |
+
"id": "90cd5eb5",
|
140 |
+
"metadata": {},
|
141 |
+
"outputs": [
|
142 |
+
{
|
143 |
+
"data": {
|
144 |
+
"text/html": [
|
145 |
+
"\n",
|
146 |
+
"<style>\n",
|
147 |
+
" /* Turns off some styling */\n",
|
148 |
+
" progress {\n",
|
149 |
+
" /* gets rid of default border in Firefox and Opera. */\n",
|
150 |
+
" border: none;\n",
|
151 |
+
" /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
|
152 |
+
" background-size: auto;\n",
|
153 |
+
" }\n",
|
154 |
+
" progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
|
155 |
+
" background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
|
156 |
+
" }\n",
|
157 |
+
" .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
|
158 |
+
" background: #F44336;\n",
|
159 |
+
" }\n",
|
160 |
+
"</style>\n"
|
161 |
+
],
|
162 |
+
"text/plain": [
|
163 |
+
"<IPython.core.display.HTML object>"
|
164 |
+
]
|
165 |
+
},
|
166 |
+
"metadata": {},
|
167 |
+
"output_type": "display_data"
|
168 |
+
},
|
169 |
+
{
|
170 |
+
"data": {
|
171 |
+
"text/html": [],
|
172 |
+
"text/plain": [
|
173 |
+
"<IPython.core.display.HTML object>"
|
174 |
+
]
|
175 |
+
},
|
176 |
+
"metadata": {},
|
177 |
+
"output_type": "display_data"
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"data": {
|
181 |
+
"text/plain": [
|
182 |
+
"{'Dog': 0.9999991655349731, 'Cat': 8.78320577157865e-07}"
|
183 |
+
]
|
184 |
+
},
|
185 |
+
"execution_count": 7,
|
186 |
+
"metadata": {},
|
187 |
+
"output_type": "execute_result"
|
188 |
+
}
|
189 |
+
],
|
190 |
+
"source": [
|
191 |
+
"classify_image(im)"
|
192 |
+
]
|
193 |
+
},
|
194 |
+
{
|
195 |
+
"cell_type": "code",
|
196 |
+
"execution_count": 8,
|
197 |
+
"id": "6ed6b1ad",
|
198 |
+
"metadata": {},
|
199 |
+
"outputs": [
|
200 |
+
{
|
201 |
+
"name": "stderr",
|
202 |
+
"output_type": "stream",
|
203 |
+
"text": [
|
204 |
+
"/home/yehao_ubuntu/mambaforge/lib/python3.10/site-packages/gradio/inputs.py:257: UserWarning: Usage of gradio.inputs is deprecated, and will not be supported in the future, please import your component from gradio.components\n",
|
205 |
+
" warnings.warn(\n",
|
206 |
+
"/home/yehao_ubuntu/mambaforge/lib/python3.10/site-packages/gradio/deprecation.py:40: UserWarning: `optional` parameter is deprecated, and it has no effect\n",
|
207 |
+
" warnings.warn(value)\n",
|
208 |
+
"/home/yehao_ubuntu/mambaforge/lib/python3.10/site-packages/gradio/outputs.py:197: UserWarning: Usage of gradio.outputs is deprecated, and will not be supported in the future, please import your components from gradio.components\n",
|
209 |
+
" warnings.warn(\n",
|
210 |
+
"/home/yehao_ubuntu/mambaforge/lib/python3.10/site-packages/gradio/deprecation.py:40: UserWarning: The 'type' parameter has been deprecated. Use the Number component instead.\n",
|
211 |
+
" warnings.warn(value)\n"
|
212 |
+
]
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"name": "stdout",
|
216 |
+
"output_type": "stream",
|
217 |
+
"text": [
|
218 |
+
"Running on local URL: http://127.0.0.1:7861\n",
|
219 |
+
"\n",
|
220 |
+
"To create a public link, set `share=True` in `launch()`.\n"
|
221 |
+
]
|
222 |
+
},
|
223 |
+
{
|
224 |
+
"data": {
|
225 |
+
"text/plain": []
|
226 |
+
},
|
227 |
+
"execution_count": 8,
|
228 |
+
"metadata": {},
|
229 |
+
"output_type": "execute_result"
|
230 |
+
}
|
231 |
+
],
|
232 |
+
"source": [
|
233 |
+
"#|export\n",
|
234 |
+
"image = gr.inputs.Image(shape=(192, 192))\n",
|
235 |
+
"label = gr.outputs.Label()\n",
|
236 |
+
"examples = [\"dog1.jpg\", \"dog2.jpg\", \"dog3.jpg\", \"cat1.jpg\", \"cat2.jpg\"]\n",
|
237 |
+
"\n",
|
238 |
+
"intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)\n",
|
239 |
+
"intf.launch(inline=False)"
|
240 |
+
]
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"cell_type": "markdown",
|
244 |
+
"id": "a3bc112f",
|
245 |
+
"metadata": {},
|
246 |
+
"source": [
|
247 |
+
"# Export"
|
248 |
+
]
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"cell_type": "code",
|
252 |
+
"execution_count": 9,
|
253 |
+
"id": "83142b64",
|
254 |
+
"metadata": {},
|
255 |
+
"outputs": [
|
256 |
+
{
|
257 |
+
"name": "stdout",
|
258 |
+
"output_type": "stream",
|
259 |
+
"text": [
|
260 |
+
"Export successful\n"
|
261 |
+
]
|
262 |
+
}
|
263 |
+
],
|
264 |
+
"source": [
|
265 |
+
"import nbdev\n",
|
266 |
+
"nbdev.export.nb_export('app.ipynb', './')\n",
|
267 |
+
"print('Export successful')"
|
268 |
+
]
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"cell_type": "code",
|
272 |
+
"execution_count": null,
|
273 |
+
"id": "e3cbd117",
|
274 |
+
"metadata": {},
|
275 |
+
"outputs": [],
|
276 |
+
"source": []
|
277 |
+
}
|
278 |
+
],
|
279 |
+
"metadata": {
|
280 |
+
"kernelspec": {
|
281 |
+
"display_name": "Python 3 (ipykernel)",
|
282 |
+
"language": "python",
|
283 |
+
"name": "python3"
|
284 |
+
},
|
285 |
+
"language_info": {
|
286 |
+
"codemirror_mode": {
|
287 |
+
"name": "ipython",
|
288 |
+
"version": 3
|
289 |
+
},
|
290 |
+
"file_extension": ".py",
|
291 |
+
"mimetype": "text/x-python",
|
292 |
+
"name": "python",
|
293 |
+
"nbconvert_exporter": "python",
|
294 |
+
"pygments_lexer": "ipython3",
|
295 |
+
"version": "3.10.10"
|
296 |
+
}
|
297 |
+
},
|
298 |
+
"nbformat": 4,
|
299 |
+
"nbformat_minor": 5
|
300 |
+
}
|
app.ipynb
ADDED
@@ -0,0 +1,300 @@
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|
1 |
+
{
|
2 |
+
"cells": [
|
3 |
+
{
|
4 |
+
"cell_type": "code",
|
5 |
+
"execution_count": 1,
|
6 |
+
"id": "0f99f6e4",
|
7 |
+
"metadata": {},
|
8 |
+
"outputs": [],
|
9 |
+
"source": [
|
10 |
+
"#|default_exp app"
|
11 |
+
]
|
12 |
+
},
|
13 |
+
{
|
14 |
+
"cell_type": "code",
|
15 |
+
"execution_count": 2,
|
16 |
+
"id": "e0443b8b",
|
17 |
+
"metadata": {},
|
18 |
+
"outputs": [],
|
19 |
+
"source": [
|
20 |
+
"#|export\n",
|
21 |
+
"from fastai.vision.all import *\n",
|
22 |
+
"import gradio as gr\n",
|
23 |
+
"\n",
|
24 |
+
"def is_cat(x):\n",
|
25 |
+
" return x[0].isupper()"
|
26 |
+
]
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"cell_type": "code",
|
30 |
+
"execution_count": 3,
|
31 |
+
"id": "54d9aa2b",
|
32 |
+
"metadata": {},
|
33 |
+
"outputs": [
|
34 |
+
{
|
35 |
+
"data": {
|
36 |
+
"image/png": 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\n",
|
37 |
+
"text/plain": [
|
38 |
+
"PILImage mode=RGB size=192x191"
|
39 |
+
]
|
40 |
+
},
|
41 |
+
"execution_count": 3,
|
42 |
+
"metadata": {},
|
43 |
+
"output_type": "execute_result"
|
44 |
+
}
|
45 |
+
],
|
46 |
+
"source": [
|
47 |
+
"im = PILImage.create(\"dog1.jpg\")\n",
|
48 |
+
"im.thumbnail((192, 192))\n",
|
49 |
+
"im"
|
50 |
+
]
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"cell_type": "code",
|
54 |
+
"execution_count": 4,
|
55 |
+
"id": "280b6000",
|
56 |
+
"metadata": {},
|
57 |
+
"outputs": [],
|
58 |
+
"source": [
|
59 |
+
"#|export\n",
|
60 |
+
"learn = load_learner(\"model.pkl\")"
|
61 |
+
]
|
62 |
+
},
|
63 |
+
{
|
64 |
+
"cell_type": "code",
|
65 |
+
"execution_count": 5,
|
66 |
+
"id": "f2525833",
|
67 |
+
"metadata": {},
|
68 |
+
"outputs": [
|
69 |
+
{
|
70 |
+
"data": {
|
71 |
+
"text/html": [
|
72 |
+
"\n",
|
73 |
+
"<style>\n",
|
74 |
+
" /* Turns off some styling */\n",
|
75 |
+
" progress {\n",
|
76 |
+
" /* gets rid of default border in Firefox and Opera. */\n",
|
77 |
+
" border: none;\n",
|
78 |
+
" /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
|
79 |
+
" background-size: auto;\n",
|
80 |
+
" }\n",
|
81 |
+
" progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
|
82 |
+
" background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
|
83 |
+
" }\n",
|
84 |
+
" .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
|
85 |
+
" background: #F44336;\n",
|
86 |
+
" }\n",
|
87 |
+
"</style>\n"
|
88 |
+
],
|
89 |
+
"text/plain": [
|
90 |
+
"<IPython.core.display.HTML object>"
|
91 |
+
]
|
92 |
+
},
|
93 |
+
"metadata": {},
|
94 |
+
"output_type": "display_data"
|
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},
|
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+
{
|
97 |
+
"data": {
|
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+
"text/html": [],
|
99 |
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"text/plain": [
|
100 |
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"<IPython.core.display.HTML object>"
|
101 |
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]
|
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+
},
|
103 |
+
"metadata": {},
|
104 |
+
"output_type": "display_data"
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"data": {
|
108 |
+
"text/plain": [
|
109 |
+
"('False', TensorBase(0), TensorBase([1.0000e+00, 8.7832e-07]))"
|
110 |
+
]
|
111 |
+
},
|
112 |
+
"execution_count": 5,
|
113 |
+
"metadata": {},
|
114 |
+
"output_type": "execute_result"
|
115 |
+
}
|
116 |
+
],
|
117 |
+
"source": [
|
118 |
+
"learn.predict(im)"
|
119 |
+
]
|
120 |
+
},
|
121 |
+
{
|
122 |
+
"cell_type": "code",
|
123 |
+
"execution_count": 6,
|
124 |
+
"id": "ab75b01f",
|
125 |
+
"metadata": {},
|
126 |
+
"outputs": [],
|
127 |
+
"source": [
|
128 |
+
"#|export\n",
|
129 |
+
"categories = (\"Dog\", \"Cat\")\n",
|
130 |
+
"\n",
|
131 |
+
"def classify_image(img):\n",
|
132 |
+
" pred, idx, probs = learn.predict(img)\n",
|
133 |
+
" return dict(zip(categories, map(float, probs)))"
|
134 |
+
]
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"cell_type": "code",
|
138 |
+
"execution_count": 7,
|
139 |
+
"id": "90cd5eb5",
|
140 |
+
"metadata": {},
|
141 |
+
"outputs": [
|
142 |
+
{
|
143 |
+
"data": {
|
144 |
+
"text/html": [
|
145 |
+
"\n",
|
146 |
+
"<style>\n",
|
147 |
+
" /* Turns off some styling */\n",
|
148 |
+
" progress {\n",
|
149 |
+
" /* gets rid of default border in Firefox and Opera. */\n",
|
150 |
+
" border: none;\n",
|
151 |
+
" /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
|
152 |
+
" background-size: auto;\n",
|
153 |
+
" }\n",
|
154 |
+
" progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
|
155 |
+
" background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
|
156 |
+
" }\n",
|
157 |
+
" .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
|
158 |
+
" background: #F44336;\n",
|
159 |
+
" }\n",
|
160 |
+
"</style>\n"
|
161 |
+
],
|
162 |
+
"text/plain": [
|
163 |
+
"<IPython.core.display.HTML object>"
|
164 |
+
]
|
165 |
+
},
|
166 |
+
"metadata": {},
|
167 |
+
"output_type": "display_data"
|
168 |
+
},
|
169 |
+
{
|
170 |
+
"data": {
|
171 |
+
"text/html": [],
|
172 |
+
"text/plain": [
|
173 |
+
"<IPython.core.display.HTML object>"
|
174 |
+
]
|
175 |
+
},
|
176 |
+
"metadata": {},
|
177 |
+
"output_type": "display_data"
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"data": {
|
181 |
+
"text/plain": [
|
182 |
+
"{'Dog': 0.9999991655349731, 'Cat': 8.78320577157865e-07}"
|
183 |
+
]
|
184 |
+
},
|
185 |
+
"execution_count": 7,
|
186 |
+
"metadata": {},
|
187 |
+
"output_type": "execute_result"
|
188 |
+
}
|
189 |
+
],
|
190 |
+
"source": [
|
191 |
+
"classify_image(im)"
|
192 |
+
]
|
193 |
+
},
|
194 |
+
{
|
195 |
+
"cell_type": "code",
|
196 |
+
"execution_count": 8,
|
197 |
+
"id": "6ed6b1ad",
|
198 |
+
"metadata": {},
|
199 |
+
"outputs": [
|
200 |
+
{
|
201 |
+
"name": "stderr",
|
202 |
+
"output_type": "stream",
|
203 |
+
"text": [
|
204 |
+
"/home/yehao_ubuntu/mambaforge/lib/python3.10/site-packages/gradio/inputs.py:257: UserWarning: Usage of gradio.inputs is deprecated, and will not be supported in the future, please import your component from gradio.components\n",
|
205 |
+
" warnings.warn(\n",
|
206 |
+
"/home/yehao_ubuntu/mambaforge/lib/python3.10/site-packages/gradio/deprecation.py:40: UserWarning: `optional` parameter is deprecated, and it has no effect\n",
|
207 |
+
" warnings.warn(value)\n",
|
208 |
+
"/home/yehao_ubuntu/mambaforge/lib/python3.10/site-packages/gradio/outputs.py:197: UserWarning: Usage of gradio.outputs is deprecated, and will not be supported in the future, please import your components from gradio.components\n",
|
209 |
+
" warnings.warn(\n",
|
210 |
+
"/home/yehao_ubuntu/mambaforge/lib/python3.10/site-packages/gradio/deprecation.py:40: UserWarning: The 'type' parameter has been deprecated. Use the Number component instead.\n",
|
211 |
+
" warnings.warn(value)\n"
|
212 |
+
]
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"name": "stdout",
|
216 |
+
"output_type": "stream",
|
217 |
+
"text": [
|
218 |
+
"Running on local URL: http://127.0.0.1:7861\n",
|
219 |
+
"\n",
|
220 |
+
"To create a public link, set `share=True` in `launch()`.\n"
|
221 |
+
]
|
222 |
+
},
|
223 |
+
{
|
224 |
+
"data": {
|
225 |
+
"text/plain": []
|
226 |
+
},
|
227 |
+
"execution_count": 8,
|
228 |
+
"metadata": {},
|
229 |
+
"output_type": "execute_result"
|
230 |
+
}
|
231 |
+
],
|
232 |
+
"source": [
|
233 |
+
"#|export\n",
|
234 |
+
"image = gr.inputs.Image(shape=(192, 192))\n",
|
235 |
+
"label = gr.outputs.Label()\n",
|
236 |
+
"examples = [\"dog1.jpg\", \"dog2.jpg\", \"dog3.jpg\", \"cat1.jpg\", \"cat2.jpg\"]\n",
|
237 |
+
"\n",
|
238 |
+
"intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)\n",
|
239 |
+
"intf.launch(inline=False)"
|
240 |
+
]
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"cell_type": "markdown",
|
244 |
+
"id": "a3bc112f",
|
245 |
+
"metadata": {},
|
246 |
+
"source": [
|
247 |
+
"# Export"
|
248 |
+
]
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"cell_type": "code",
|
252 |
+
"execution_count": 9,
|
253 |
+
"id": "83142b64",
|
254 |
+
"metadata": {},
|
255 |
+
"outputs": [
|
256 |
+
{
|
257 |
+
"name": "stdout",
|
258 |
+
"output_type": "stream",
|
259 |
+
"text": [
|
260 |
+
"Export successful\n"
|
261 |
+
]
|
262 |
+
}
|
263 |
+
],
|
264 |
+
"source": [
|
265 |
+
"import nbdev\n",
|
266 |
+
"nbdev.export.nb_export('app.ipynb', './')\n",
|
267 |
+
"print('Export successful')"
|
268 |
+
]
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"cell_type": "code",
|
272 |
+
"execution_count": null,
|
273 |
+
"id": "e3cbd117",
|
274 |
+
"metadata": {},
|
275 |
+
"outputs": [],
|
276 |
+
"source": []
|
277 |
+
}
|
278 |
+
],
|
279 |
+
"metadata": {
|
280 |
+
"kernelspec": {
|
281 |
+
"display_name": "Python 3 (ipykernel)",
|
282 |
+
"language": "python",
|
283 |
+
"name": "python3"
|
284 |
+
},
|
285 |
+
"language_info": {
|
286 |
+
"codemirror_mode": {
|
287 |
+
"name": "ipython",
|
288 |
+
"version": 3
|
289 |
+
},
|
290 |
+
"file_extension": ".py",
|
291 |
+
"mimetype": "text/x-python",
|
292 |
+
"name": "python",
|
293 |
+
"nbconvert_exporter": "python",
|
294 |
+
"pygments_lexer": "ipython3",
|
295 |
+
"version": "3.10.10"
|
296 |
+
}
|
297 |
+
},
|
298 |
+
"nbformat": 4,
|
299 |
+
"nbformat_minor": 5
|
300 |
+
}
|
app.py
CHANGED
@@ -1,7 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
import gradio as gr
|
2 |
|
3 |
-
def
|
4 |
-
return
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
5 |
|
6 |
-
|
7 |
-
|
|
|
1 |
+
# AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb.
|
2 |
+
|
3 |
+
# %% auto 0
|
4 |
+
__all__ = ['learn', 'categories', 'image', 'label', '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):
|
11 |
+
return x[0].isupper()
|
12 |
+
|
13 |
+
# %% app.ipynb 3
|
14 |
+
learn = load_learner("model.pkl")
|
15 |
+
|
16 |
+
# %% app.ipynb 5
|
17 |
+
categories = ("Dog", "Cat")
|
18 |
+
|
19 |
+
def classify_image(img):
|
20 |
+
pred, idx, probs = learn.predict(img)
|
21 |
+
return dict(zip(categories, map(float, probs)))
|
22 |
+
|
23 |
+
# %% app.ipynb 7
|
24 |
+
image = gr.inputs.Image(shape=(192, 192))
|
25 |
+
label = gr.outputs.Label()
|
26 |
+
examples = ["dog1.jpg", "dog2.jpg", "dog3.jpg", "cat1.jpg", "cat2.jpg"]
|
27 |
|
28 |
+
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
|
29 |
+
intf.launch(inline=False)
|
cat1.jpg
ADDED
cat2.jpg
ADDED
dog1.jpg
ADDED
dog2.jpg
ADDED
dog3.jpg
ADDED
model.pkl
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1c09d8f778f89c9eb588eefd9a5ba094eb163cd3ea708a4ea567a83e924f149f
|
3 |
+
size 47059947
|
model.pkl:Zone.Identifier
ADDED
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
1 |
+
[ZoneTransfer]
|
2 |
+
ZoneId=3
|
3 |
+
ReferrerUrl=https://www.kaggle.com/
|
4 |
+
HostUrl=https://www.kaggleusercontent.com/kf/94626315/eyJhbGciOiJkaXIiLCJlbmMiOiJBMTI4Q0JDLUhTMjU2In0..paNJ3RT1uovoIfKKtMtaNg.oXTvColZEyWKihL1b3caPDWs5p3iNLNd1fV2XbuZleNHmmx3zFLPu2mcPqr4Ao7eOCyGOGl4R4uRN1RUhFmiJi6G776KgM4xc9QVXBCBxkRslW070a4_u4ASiusrfhfduSe6WiVXOxVaVGugSzwqIcZPhk6SkOJYvyN4Dd5vmgtdHmxrLs0hFBdFM4xlp4KSJ95xBAYwfNN9gy3TMWHvKzxOFidkAQB-69vtpZkaSCEiTTUlhT47pClNdqcaDIHduNSuUXOYHBX37xOS0MWWGGfyKFwGnMBwa_yVB57XzK8EqZFq6LPdo0NF8zTuBO9M1DOjne3kCtASifyS3j_nvzOrIgx5lGtTB04wA7Xk8EelMYmWgmudVZn_dg4e4GRTXmVkOmhaiiwJd5M-J-FEyvlDRP_09EM_y6b0ue-ap2TbBN_C7a-HS4tqp6LF8SN4RZBbPCb6bvPUi17CsuTCGNr0JPqGj9eR6DMyQEYZUGFC7BGYrHEgUnChBpUffCoXE2sYYnKWc_U9yvFBHRfbmamWdvomkhTJn6cEmOyOmJQliFoII9xhWM53eCzp3SyTvPlxtMUeXWN9jWHP3BmGfHyYDD-GlDj_tXYjfGWIiyjYbkAtRp0VRXRDoOjil4p0QBPme-8JPVPRL8BdF5zyNXps-JqoJEVKCwPCAIvfxPI.OijVAozczcobs2CNEeptsg/model.pkl
|