Gradio App Complete
Browse files- app.ipynb +400 -0
- app.py +23 -4
- chillypotato.jpg +0 -0
- friedrice.jpg +0 -0
- momos.jpg +0 -0
app.ipynb
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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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"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": 3,
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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"
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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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"source": [
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"#|export\n",
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"\n",
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"learn = load_learner('food.pkl')"
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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": 5,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"['burger', 'chilly potato', 'chowmein', 'french fry', 'fried rice', 'momos', 'pizza', 'spring roll']"
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]
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},
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"execution_count": 5,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"learn.dls.vocab"
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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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"source": [
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"#|export\n",
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"\n",
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"categories = ('burger', 'chilly potato', 'chowmein', 'french fry', 'fried rice', 'momos', 'pizza', 'spring roll')\n",
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"\n",
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"def classify_image(img):\n",
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" pred, idx, probs = learn.predict(img)\n",
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" return dict(zip(categories, map(float, probs)))"
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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": 7,
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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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"c:\\Users\\Himz\\anaconda3\\lib\\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",
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" warnings.warn(\n",
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"c:\\Users\\Himz\\anaconda3\\lib\\site-packages\\gradio\\deprecation.py:40: UserWarning: `optional` parameter is deprecated, and it has no effect\n",
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" warnings.warn(value)\n",
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"c:\\Users\\Himz\\anaconda3\\lib\\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",
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" warnings.warn(\n",
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"c:\\Users\\Himz\\anaconda3\\lib\\site-packages\\gradio\\deprecation.py:40: UserWarning: The 'type' parameter has been deprecated. Use the Number component instead.\n",
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" warnings.warn(value)\n"
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]
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},
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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://127.0.0.1:7860\n",
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"\n",
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"To create a public link, set `share=True` in `launch()`.\n"
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]
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},
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{
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"data": {
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"execution_count": 7,
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"metadata": {},
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"output_type": "execute_result"
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"<style>\n",
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" progress {\n",
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" /* gets rid of default border in Firefox and Opera. */\n",
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" border: none;\n",
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" /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
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" background-size: auto;\n",
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" progress {\n",
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" border: none;\n",
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+
"<IPython.core.display.HTML object>"
|
285 |
+
]
|
286 |
+
},
|
287 |
+
"metadata": {},
|
288 |
+
"output_type": "display_data"
|
289 |
+
},
|
290 |
+
{
|
291 |
+
"data": {
|
292 |
+
"text/html": [
|
293 |
+
"\n",
|
294 |
+
"<style>\n",
|
295 |
+
" /* Turns off some styling */\n",
|
296 |
+
" progress {\n",
|
297 |
+
" /* gets rid of default border in Firefox and Opera. */\n",
|
298 |
+
" border: none;\n",
|
299 |
+
" /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
|
300 |
+
" background-size: auto;\n",
|
301 |
+
" }\n",
|
302 |
+
" progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
|
303 |
+
" background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
|
304 |
+
" }\n",
|
305 |
+
" .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
|
306 |
+
" background: #F44336;\n",
|
307 |
+
" }\n",
|
308 |
+
"</style>\n"
|
309 |
+
],
|
310 |
+
"text/plain": [
|
311 |
+
"<IPython.core.display.HTML object>"
|
312 |
+
]
|
313 |
+
},
|
314 |
+
"metadata": {},
|
315 |
+
"output_type": "display_data"
|
316 |
+
},
|
317 |
+
{
|
318 |
+
"data": {
|
319 |
+
"text/html": [],
|
320 |
+
"text/plain": [
|
321 |
+
"<IPython.core.display.HTML object>"
|
322 |
+
]
|
323 |
+
},
|
324 |
+
"metadata": {},
|
325 |
+
"output_type": "display_data"
|
326 |
+
}
|
327 |
+
],
|
328 |
+
"source": [
|
329 |
+
"#|export \n",
|
330 |
+
"image = gr.inputs.Image(shape=(224,224))\n",
|
331 |
+
"label = gr.outputs.Label()\n",
|
332 |
+
"examples = ['chillypotato.jpg', 'friedrice.jpg', 'momos.jpg']\n",
|
333 |
+
"\n",
|
334 |
+
"intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)\n",
|
335 |
+
"intf.launch(inline=False)"
|
336 |
+
]
|
337 |
+
},
|
338 |
+
{
|
339 |
+
"attachments": {},
|
340 |
+
"cell_type": "markdown",
|
341 |
+
"metadata": {},
|
342 |
+
"source": [
|
343 |
+
"## Export"
|
344 |
+
]
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"cell_type": "code",
|
348 |
+
"execution_count": 10,
|
349 |
+
"metadata": {},
|
350 |
+
"outputs": [
|
351 |
+
{
|
352 |
+
"name": "stdout",
|
353 |
+
"output_type": "stream",
|
354 |
+
"text": [
|
355 |
+
"Successfull\n"
|
356 |
+
]
|
357 |
+
}
|
358 |
+
],
|
359 |
+
"source": [
|
360 |
+
"import nbdev\n",
|
361 |
+
"nbdev.export.nb_export('app.ipynb', './')\n",
|
362 |
+
"print(\"Successfull\")"
|
363 |
+
]
|
364 |
+
},
|
365 |
+
{
|
366 |
+
"cell_type": "code",
|
367 |
+
"execution_count": null,
|
368 |
+
"metadata": {},
|
369 |
+
"outputs": [],
|
370 |
+
"source": []
|
371 |
+
}
|
372 |
+
],
|
373 |
+
"metadata": {
|
374 |
+
"kernelspec": {
|
375 |
+
"display_name": "base",
|
376 |
+
"language": "python",
|
377 |
+
"name": "python3"
|
378 |
+
},
|
379 |
+
"language_info": {
|
380 |
+
"codemirror_mode": {
|
381 |
+
"name": "ipython",
|
382 |
+
"version": 3
|
383 |
+
},
|
384 |
+
"file_extension": ".py",
|
385 |
+
"mimetype": "text/x-python",
|
386 |
+
"name": "python",
|
387 |
+
"nbconvert_exporter": "python",
|
388 |
+
"pygments_lexer": "ipython3",
|
389 |
+
"version": "3.9.12"
|
390 |
+
},
|
391 |
+
"orig_nbformat": 4,
|
392 |
+
"vscode": {
|
393 |
+
"interpreter": {
|
394 |
+
"hash": "5a98ca32c900e45ba6fdf802df0386790e8919c5ffd6432e6c5973ff7369f74d"
|
395 |
+
}
|
396 |
+
}
|
397 |
+
},
|
398 |
+
"nbformat": 4,
|
399 |
+
"nbformat_minor": 2
|
400 |
+
}
|
app.py
CHANGED
@@ -1,7 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
import gradio as gr
|
2 |
|
3 |
-
|
4 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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', 'classify_image']
|
5 |
+
|
6 |
+
# %% app.ipynb 1
|
7 |
+
from fastai.vision.all import *
|
8 |
import gradio as gr
|
9 |
|
10 |
+
# %% app.ipynb 2
|
11 |
+
learn = load_learner('food.pkl')
|
12 |
+
|
13 |
+
# %% app.ipynb 4
|
14 |
+
categories = ('burger', 'chilly potato', 'chowmein', 'french fry', 'fried rice', 'momos', 'pizza', 'spring roll')
|
15 |
+
|
16 |
+
def classify_image(img):
|
17 |
+
pred, idx, probs = learn.predict(img)
|
18 |
+
return dict(zip(categories, map(float, probs)))
|
19 |
+
|
20 |
+
# %% app.ipynb 5
|
21 |
+
image = gr.inputs.Image(shape=(224,224))
|
22 |
+
label = gr.outputs.Label()
|
23 |
+
examples = ['chillypotato.jpg', 'friedrice.jpg', 'momos.jpg']
|
24 |
|
25 |
+
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
|
26 |
+
intf.launch(inline=False)
|
chillypotato.jpg
ADDED
friedrice.jpg
ADDED
momos.jpg
ADDED