joaquinllopez00 commited on
Commit
c4d5f11
1 Parent(s): bf3ad15
app.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": 4,
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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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+ "/Users/joaquinlopez/miniconda3/envs/hf/lib/python3.7/site-packages/tqdm/auto.py:22: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
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+ " from .autonotebook import tqdm as notebook_tqdm\n"
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+ ]
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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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+ "import gradio as gr\n",
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+ "\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": 6,
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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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",
33
+ "text/plain": [
34
+ "PILImage mode=RGB size=224x112"
35
+ ]
36
+ },
37
+ "execution_count": 6,
38
+ "metadata": {},
39
+ "output_type": "execute_result"
40
+ }
41
+ ],
42
+ "source": [
43
+ "im = PILImage.create('dog.jpg')\n",
44
+ "im.thumbnail((224, 224))\n",
45
+ "im "
46
+ ]
47
+ },
48
+ {
49
+ "cell_type": "code",
50
+ "execution_count": 7,
51
+ "metadata": {},
52
+ "outputs": [],
53
+ "source": [
54
+ "learn = load_learner('model.pkl') "
55
+ ]
56
+ },
57
+ {
58
+ "cell_type": "code",
59
+ "execution_count": 8,
60
+ "metadata": {},
61
+ "outputs": [
62
+ {
63
+ "data": {
64
+ "text/html": [
65
+ "\n",
66
+ "<style>\n",
67
+ " /* Turns off some styling */\n",
68
+ " progress {\n",
69
+ " /* gets rid of default border in Firefox and Opera. */\n",
70
+ " border: none;\n",
71
+ " /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
72
+ " background-size: auto;\n",
73
+ " }\n",
74
+ " progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
75
+ " background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
76
+ " }\n",
77
+ " .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
78
+ " background: #F44336;\n",
79
+ " }\n",
80
+ "</style>\n"
81
+ ],
82
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83
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84
+ ]
85
+ },
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+ "metadata": {},
87
+ "output_type": "display_data"
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+ },
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+ {
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+ "data": {
91
+ "text/html": [],
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+ "text/plain": [
93
+ "<IPython.core.display.HTML object>"
94
+ ]
95
+ },
96
+ "metadata": {},
97
+ "output_type": "display_data"
98
+ },
99
+ {
100
+ "name": "stdout",
101
+ "output_type": "stream",
102
+ "text": [
103
+ "CPU times: user 88.6 ms, sys: 21.7 ms, total: 110 ms\n",
104
+ "Wall time: 90.4 ms\n"
105
+ ]
106
+ },
107
+ {
108
+ "data": {
109
+ "text/plain": [
110
+ "('False', TensorBase(0), TensorBase([9.9997e-01, 2.5096e-05]))"
111
+ ]
112
+ },
113
+ "execution_count": 8,
114
+ "metadata": {},
115
+ "output_type": "execute_result"
116
+ }
117
+ ],
118
+ "source": [
119
+ "%time learn.predict(im)"
120
+ ]
121
+ },
122
+ {
123
+ "cell_type": "code",
124
+ "execution_count": 9,
125
+ "metadata": {},
126
+ "outputs": [],
127
+ "source": [
128
+ "categories = ('Dog', 'Cat')\n",
129
+ "\n",
130
+ "def classify_image(img):\n",
131
+ " pred, pred_idx, probs = learn.predict(img)\n",
132
+ " return dict(zip(categories, map(float, probs)))"
133
+ ]
134
+ },
135
+ {
136
+ "cell_type": "code",
137
+ "execution_count": 10,
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+ "metadata": {},
139
+ "outputs": [
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+ {
141
+ "data": {
142
+ "text/html": [
143
+ "\n",
144
+ "<style>\n",
145
+ " /* Turns off some styling */\n",
146
+ " progress {\n",
147
+ " /* gets rid of default border in Firefox and Opera. */\n",
148
+ " border: none;\n",
149
+ " /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
150
+ " background-size: auto;\n",
151
+ " }\n",
152
+ " progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
153
+ " background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
154
+ " }\n",
155
+ " .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
156
+ " background: #F44336;\n",
157
+ " }\n",
158
+ "</style>\n"
159
+ ],
160
+ "text/plain": [
161
+ "<IPython.core.display.HTML object>"
162
+ ]
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+ },
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+ "metadata": {},
165
+ "output_type": "display_data"
166
+ },
167
+ {
168
+ "data": {
169
+ "text/html": [],
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+ "text/plain": [
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+ "<IPython.core.display.HTML object>"
172
+ ]
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+ },
174
+ "metadata": {},
175
+ "output_type": "display_data"
176
+ },
177
+ {
178
+ "data": {
179
+ "text/plain": [
180
+ "{'Dog': 0.9999748468399048, 'Cat': 2.5095680030062795e-05}"
181
+ ]
182
+ },
183
+ "execution_count": 10,
184
+ "metadata": {},
185
+ "output_type": "execute_result"
186
+ }
187
+ ],
188
+ "source": [
189
+ "classify_image(im)"
190
+ ]
191
+ },
192
+ {
193
+ "cell_type": "code",
194
+ "execution_count": null,
195
+ "metadata": {},
196
+ "outputs": [],
197
+ "source": [
198
+ "image = gr.inputs.Image(shape=(192, 192))\n",
199
+ "label = gr.outputs.Label()\n",
200
+ "examples = ['dog.jpg', 'cat.jpg', 'tiger.jpg', 'wolf.jpg']\n",
201
+ "\n",
202
+ "intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)\n",
203
+ "intf.launch(inline=False)"
204
+ ]
205
+ }
206
+ ],
207
+ "metadata": {
208
+ "kernelspec": {
209
+ "display_name": "hf",
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+ "language": "python",
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+ "name": "python3"
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+ },
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+ "language_info": {
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+ "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",
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+ "name": "python",
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+ "nbconvert_exporter": "python",
222
+ "pygments_lexer": "ipython3",
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+ "version": "3.7.16"
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+ },
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+ "orig_nbformat": 4,
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+ "vscode": {
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+ }
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+ }
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+ },
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+ "nbformat": 4,
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+ "nbformat_minor": 2
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+ }
cat.jpg ADDED
dog.jpg ADDED
flagged/img/tmp17djanyh.jpg ADDED
flagged/output/tmpzzreoljp.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"label": "Dog", "confidences": [{"label": "Dog", "confidence": 0.7887213826179504}, {"label": "Cat", "confidence": 0.21127861738204956}]}
requirements.txt ADDED
@@ -0,0 +1,90 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ aiofiles==22.1.0
2
+ aiohttp==3.8.3
3
+ aiosignal==1.3.1
4
+ altair==4.2.0
5
+ anyio==3.6.2
6
+ async-timeout==4.0.2
7
+ asynctest==0.13.0
8
+ attrs==22.2.0
9
+ blis==0.7.9
10
+ catalogue==2.0.8
11
+ certifi @ file:///private/var/folders/sy/f16zz6x50xz3113nwtb9bvq00000gp/T/abs_477u68wvzm/croot/certifi_1671487773341/work/certifi
12
+ charset-normalizer==2.1.1
13
+ click==8.1.3
14
+ confection==0.0.4
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+ cycler==0.11.0
16
+ cymem==2.0.7
17
+ entrypoints==0.4
18
+ fastai==2.7.10
19
+ fastapi==0.89.1
20
+ fastcore==1.5.27
21
+ fastdownload==0.0.7
22
+ fastprogress==1.0.3
23
+ ffmpy==0.3.0
24
+ fonttools==4.38.0
25
+ frozenlist==1.3.3
26
+ fsspec==2022.11.0
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+ gradio==3.16.2
28
+ h11==0.14.0
29
+ httpcore==0.16.3
30
+ httpx==0.23.3
31
+ idna==3.4
32
+ importlib-metadata==6.0.0
33
+ importlib-resources==5.10.2
34
+ Jinja2==3.1.2
35
+ joblib==1.2.0
36
+ jsonschema==4.17.3
37
+ kiwisolver==1.4.4
38
+ langcodes==3.3.0
39
+ linkify-it-py==1.0.3
40
+ markdown-it-py==2.1.0
41
+ MarkupSafe==2.1.2
42
+ matplotlib==3.5.3
43
+ mdit-py-plugins==0.3.3
44
+ mdurl==0.1.2
45
+ multidict==6.0.4
46
+ murmurhash==1.0.9
47
+ numpy==1.21.6
48
+ orjson==3.8.5
49
+ packaging==23.0
50
+ pandas==1.3.5
51
+ pathy==0.10.1
52
+ Pillow==9.4.0
53
+ pkgutil_resolve_name==1.3.10
54
+ preshed==3.0.8
55
+ pycryptodome==3.16.0
56
+ pydantic==1.10.2
57
+ pydub==0.25.1
58
+ pyparsing==3.0.9
59
+ pyrsistent==0.19.3
60
+ python-dateutil==2.8.2
61
+ python-multipart==0.0.5
62
+ pytz==2022.7.1
63
+ PyYAML==6.0
64
+ requests==2.28.2
65
+ rfc3986==1.5.0
66
+ scikit-learn==1.0.2
67
+ scipy==1.7.3
68
+ six==1.16.0
69
+ smart-open==6.3.0
70
+ sniffio==1.3.0
71
+ spacy==3.4.4
72
+ spacy-legacy==3.0.11
73
+ spacy-loggers==1.0.4
74
+ srsly==2.4.5
75
+ starlette==0.22.0
76
+ thinc==8.1.7
77
+ threadpoolctl==3.1.0
78
+ toolz==0.12.0
79
+ torch==1.13.1
80
+ torchvision==0.14.1
81
+ tqdm==4.64.1
82
+ typer==0.7.0
83
+ typing_extensions==4.1.1
84
+ uc-micro-py==1.0.1
85
+ urllib3==1.26.14
86
+ uvicorn==0.20.0
87
+ wasabi==0.10.1
88
+ websockets==10.4
89
+ yarl==1.8.2
90
+ zipp==3.11.0
tiger.jpg ADDED
wolf.jpg ADDED