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  1. app.ipynb +253 -0
  2. app.py +14 -4
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": 2,
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+ "metadata": {},
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+ "outputs": [],
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+ "source": [
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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": 3,
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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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+ "metadata": {},
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+ }
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+ ],
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+ "source": [
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+ "image = PILImage.create(\"images/cat.jpg\")\n",
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+ "image.thumbnail((192, 192))\n",
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+ "image"
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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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+ "learn = load_learner(\"model.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/html": [
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+ "<style>\n",
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+ " /* Turns off some styling */\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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+ " }\n",
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+ " progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
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+ " background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
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+ " }\n",
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+ " .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
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+ },
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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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+ "[W NNPACK.cpp:53] Could not initialize NNPACK! Reason: Unsupported hardware.\n"
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+ ]
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+ },
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+ {
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+ "data": {
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+ "text/plain": [
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+ "('cat', TensorBase(0), TensorBase([1.0000e+00, 3.2905e-06]))"
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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.predict(image)"
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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": 14,
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+ "metadata": {},
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+ "outputs": [],
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+ "source": [
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+ "categories = (\"Cat\", \"Dog\")\n",
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+ "\n",
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+ "def classify_image(image):\n",
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+ " pred, i, prob = learn.predict(image)\n",
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+ " return dict(zip(categories, map(float, prob)))"
120
+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 15,
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+ "metadata": {},
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+ "outputs": [
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+ {
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+ "data": {
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+ "text/html": [
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+ "\n",
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+ "<style>\n",
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+ " /* Turns off some styling */\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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+ " }\n",
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+ " progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
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+ " background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
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+ " }\n",
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+ " .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
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+ " background: #F44336;\n",
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+ " }\n",
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+ "</style>\n"
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+ ],
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+ "text/plain": [
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+ "<IPython.core.display.HTML object>"
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+ ]
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+ "output_type": "display_data"
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+ ]
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+ "metadata": {},
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+ "output_type": "display_data"
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+ },
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+ {
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+ "data": {
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+ "text/plain": [
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+ "{'Cat': 0.9999966621398926, 'Dog': 3.290505901532015e-06}"
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+ ]
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+ },
170
+ "execution_count": 15,
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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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+ "classify_image(image)"
177
+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 16,
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+ "metadata": {},
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+ "outputs": [
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+ {
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+ "name": "stderr",
186
+ "output_type": "stream",
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+ "text": [
188
+ "/Users/tk541/opt/anaconda3/envs/torchenv/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",
189
+ " warnings.warn(\n",
190
+ "/Users/tk541/opt/anaconda3/envs/torchenv/lib/python3.10/site-packages/gradio/deprecation.py:40: UserWarning: `optional` parameter is deprecated, and it has no effect\n",
191
+ " warnings.warn(value)\n",
192
+ "/Users/tk541/opt/anaconda3/envs/torchenv/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",
193
+ " warnings.warn(\n",
194
+ "/Users/tk541/opt/anaconda3/envs/torchenv/lib/python3.10/site-packages/gradio/deprecation.py:40: UserWarning: The 'type' parameter has been deprecated. Use the Number component instead.\n",
195
+ " warnings.warn(value)\n"
196
+ ]
197
+ },
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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://127.0.0.1:7861\n",
203
+ "\n",
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+ "To create a public link, set `share=True` in `launch()`.\n"
205
+ ]
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+ },
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+ {
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+ "data": {
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+ "text/plain": []
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+ },
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+ "execution_count": 16,
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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": [
217
+ "image = gr.inputs.Image(shape=(192, 192))\n",
218
+ "label = gr.outputs.Label()\n",
219
+ "examples = [\"images/cat.jpg\", \"images/dog.jpg\", \"images/dunno.jpg\"]\n",
220
+ "\n",
221
+ "interface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)\n",
222
+ "interface.launch(inline=False)"
223
+ ]
224
+ }
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+ ],
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+ "metadata": {
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+ "kernelspec": {
228
+ "display_name": "torchenv",
229
+ "language": "python",
230
+ "name": "python3"
231
+ },
232
+ "language_info": {
233
+ "codemirror_mode": {
234
+ "name": "ipython",
235
+ "version": 3
236
+ },
237
+ "file_extension": ".py",
238
+ "mimetype": "text/x-python",
239
+ "name": "python",
240
+ "nbconvert_exporter": "python",
241
+ "pygments_lexer": "ipython3",
242
+ "version": "3.10.6"
243
+ },
244
+ "orig_nbformat": 4,
245
+ "vscode": {
246
+ "interpreter": {
247
+ "hash": "ebeb6e6923afe8f7249e0784fa3ee00f3af0c0d3bfc71667f0af69f9878e1416"
248
+ }
249
+ }
250
+ },
251
+ "nbformat": 4,
252
+ "nbformat_minor": 2
253
+ }
app.py CHANGED
@@ -1,7 +1,17 @@
 
1
  import gradio as gr
2
 
3
- def greet(name):
4
- return "Hello " + name + "!!"
5
 
6
- iface = gr.Interface(fn=greet, inputs="text", outputs="text")
7
- iface.launch()
 
 
 
 
 
 
 
 
 
 
 
1
+ from fastai.vision.all import *
2
  import gradio as gr
3
 
4
+ learn = load_learner("model.pkl")
 
5
 
6
+ categories = ("Cat", "Dog")
7
+
8
+ def classify_image(image):
9
+ pred, i, prob = learn.predict(image)
10
+ return dict(zip(categories, map(float, prob)))
11
+
12
+ image = gr.inputs.Image(shape=(192, 192))
13
+ label = gr.outputs.Label()
14
+ examples = ["images/cat.jpg", "images/dog.jpg", "images/dunno.jpg"]
15
+
16
+ interface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
17
+ interface.launch(inline=False)