yannsay commited on
Commit
17a01c8
·
1 Parent(s): 895f1b4

uploading model

Browse files
Files changed (5) hide show
  1. app.py +25 -4
  2. floors_113.jpg +0 -0
  3. floors_184.jpg +0 -0
  4. learner.ipynb +206 -0
  5. model.pkl +3 -0
app.py CHANGED
@@ -1,7 +1,28 @@
 
 
 
 
 
 
 
 
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  import gradio as gr
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- def greet(name):
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- return "Hello " + name + "!!"
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- iface = gr.Interface(fn=greet, inputs="text", outputs="text")
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- iface.launch()
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ # AUTOGENERATED! DO NOT EDIT! File to edit: learner.ipynb.
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+
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+ # %% auto 0
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+ __all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'classify_image']
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+
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+ # %% learner.ipynb 1
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+ from fastai.vision.all import *
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+ from fastai import *
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  import gradio as gr
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+ # %% learner.ipynb 4
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+ learn = load_learner("model.pkl")
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+
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+ # %% learner.ipynb 6
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+ categories = ("Improved floor", "Unimproved floor")
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+
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+ def classify_image(img):
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+ pred,idx,probs = learn.predict(img)
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+ return(dict(zip(categories, map(float, probs))))
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+
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+ # %% learner.ipynb 7
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+ image = gr.inputs.Image(shape = (192,192))
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+ label = gr.outputs.Label()
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+ examples = ["floors_113.jpg", "floors_184.jpg"]
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+
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+ intf = gr.Interface(fn = classify_image, inputs = image, outputs = label, examples = examples)
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+ intf.launch(inline = False)
floors_113.jpg ADDED
floors_184.jpg ADDED
learner.ipynb ADDED
@@ -0,0 +1,206 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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": 9,
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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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+ "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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+ "from fastai import *\n",
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+ "import gradio as gr\n"
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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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+ "metadata": {},
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+ "outputs": [],
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+ "source": [
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+ "import pathlib\n",
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+ "temp = pathlib.PosixPath\n",
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+ "pathlib.PosixPath = pathlib.WindowsPath"
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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": 4,
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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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43
+ "text/plain": [
44
+ "PILImage mode=RGB size=192x192"
45
+ ]
46
+ },
47
+ "execution_count": 4,
48
+ "metadata": {},
49
+ "output_type": "execute_result"
50
+ }
51
+ ],
52
+ "source": [
53
+ "im = PILImage.create(\"floors_113.jpg\")\n",
54
+ "im.thumbnail((192,192))\n",
55
+ "im"
56
+ ]
57
+ },
58
+ {
59
+ "cell_type": "code",
60
+ "execution_count": 5,
61
+ "metadata": {},
62
+ "outputs": [],
63
+ "source": [
64
+ "#| export\n",
65
+ "learn = load_learner(\"model.pkl\")"
66
+ ]
67
+ },
68
+ {
69
+ "cell_type": "code",
70
+ "execution_count": 6,
71
+ "metadata": {},
72
+ "outputs": [
73
+ {
74
+ "data": {
75
+ "text/plain": [
76
+ "('improved_floor', tensor(0), tensor([0.9978, 0.0022]))"
77
+ ]
78
+ },
79
+ "execution_count": 6,
80
+ "metadata": {},
81
+ "output_type": "execute_result"
82
+ }
83
+ ],
84
+ "source": [
85
+ "learn.predict(im)"
86
+ ]
87
+ },
88
+ {
89
+ "cell_type": "code",
90
+ "execution_count": 12,
91
+ "metadata": {},
92
+ "outputs": [],
93
+ "source": [
94
+ "#| export\n",
95
+ "categories = (\"Improved floor\", \"Unimproved floor\")\n",
96
+ "\n",
97
+ "def classify_image(img):\n",
98
+ " pred,idx,probs = learn.predict(img)\n",
99
+ " return(dict(zip(categories, map(float, probs))))"
100
+ ]
101
+ },
102
+ {
103
+ "cell_type": "code",
104
+ "execution_count": 14,
105
+ "metadata": {},
106
+ "outputs": [
107
+ {
108
+ "name": "stderr",
109
+ "output_type": "stream",
110
+ "text": [
111
+ "C:\\Users\\user\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\gradio\\inputs.py:259: UserWarning: Usage of gradio.inputs is deprecated, and will not be supported in the future, please import your component from gradio.components\n",
112
+ " warnings.warn(\n",
113
+ "C:\\Users\\user\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\gradio\\inputs.py:262: UserWarning: `optional` parameter is deprecated, and it has no effect\n",
114
+ " super().__init__(\n",
115
+ "C:\\Users\\user\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\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",
116
+ " warnings.warn(\n",
117
+ "C:\\Users\\user\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\gradio\\outputs.py:200: UserWarning: The 'type' parameter has been deprecated. Use the Number component instead.\n",
118
+ " super().__init__(num_top_classes=num_top_classes, type=type, label=label)\n"
119
+ ]
120
+ },
121
+ {
122
+ "name": "stdout",
123
+ "output_type": "stream",
124
+ "text": [
125
+ "Running on local URL: http://127.0.0.1:7862\n",
126
+ "\n",
127
+ "To create a public link, set `share=True` in `launch()`.\n"
128
+ ]
129
+ },
130
+ {
131
+ "data": {
132
+ "text/plain": []
133
+ },
134
+ "execution_count": 14,
135
+ "metadata": {},
136
+ "output_type": "execute_result"
137
+ }
138
+ ],
139
+ "source": [
140
+ "#| export\n",
141
+ "image = gr.inputs.Image(shape = (192,192))\n",
142
+ "label = gr.outputs.Label()\n",
143
+ "examples = [\"floors_113.jpg\", \"floors_184.jpg\"]\n",
144
+ "\n",
145
+ "intf = gr.Interface(fn = classify_image, inputs = image, outputs = label, examples = examples)\n",
146
+ "intf.launch(inline = False)"
147
+ ]
148
+ },
149
+ {
150
+ "cell_type": "code",
151
+ "execution_count": 19,
152
+ "metadata": {},
153
+ "outputs": [],
154
+ "source": [
155
+ "import nbdev"
156
+ ]
157
+ },
158
+ {
159
+ "cell_type": "code",
160
+ "execution_count": 25,
161
+ "metadata": {},
162
+ "outputs": [
163
+ {
164
+ "name": "stdout",
165
+ "output_type": "stream",
166
+ "text": [
167
+ "Export successful\n"
168
+ ]
169
+ }
170
+ ],
171
+ "source": [
172
+ "nbdev.export.nb_export('learner.ipynb', './')\n",
173
+ "print('Export successful')"
174
+ ]
175
+ },
176
+ {
177
+ "cell_type": "code",
178
+ "execution_count": null,
179
+ "metadata": {},
180
+ "outputs": [],
181
+ "source": []
182
+ }
183
+ ],
184
+ "metadata": {
185
+ "kernelspec": {
186
+ "display_name": "Python 3",
187
+ "language": "python",
188
+ "name": "python3"
189
+ },
190
+ "language_info": {
191
+ "codemirror_mode": {
192
+ "name": "ipython",
193
+ "version": 3
194
+ },
195
+ "file_extension": ".py",
196
+ "mimetype": "text/x-python",
197
+ "name": "python",
198
+ "nbconvert_exporter": "python",
199
+ "pygments_lexer": "ipython3",
200
+ "version": "3.11.3"
201
+ },
202
+ "orig_nbformat": 4
203
+ },
204
+ "nbformat": 4,
205
+ "nbformat_minor": 2
206
+ }
model.pkl ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:74ec047d4d4c27905b2ee0d382431921e7b8920a765f5c3e80bef1eb8191cba3
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+ size 46954795