AgastyaPatel commited on
Commit
a71e6ad
Β·
1 Parent(s): 3128f39

fixed untracable paths

Browse files
02_BearClassifierDeployment.ipynb CHANGED
@@ -2,15 +2,195 @@
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  "cells": [
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  {
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  "cell_type": "code",
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- "execution_count": null,
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  "metadata": {
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  "colab": {
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  "base_uri": "https://localhost:8080/"
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  },
 
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  "id": "GAEn7ZfhcSLC",
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- "outputId": "0eb4e49b-e0bc-41ab-f75a-d404141a1191"
 
 
 
 
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  },
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- "outputs": [],
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  "source": [
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  "!pip install gradio nbdev"
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  ]
@@ -152,20 +332,30 @@
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  "cell_type": "code",
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  "execution_count": 8,
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  "metadata": {
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- "id": "nc2O48TScW_7"
 
 
 
 
 
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  },
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  "outputs": [],
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  "source": [
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  "#|export\n",
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  "# creating inference\n",
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- "learn = load_learner('/content/bearClassifier.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": 9,
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  "metadata": {
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- "id": "dGC3UmI4c3QY"
 
 
 
 
 
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  },
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  "outputs": [],
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  "source": [
@@ -185,8 +375,13 @@
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  "base_uri": "https://localhost:8080/",
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  "height": 646
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  },
 
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  "id": "jLrBazuoddxB",
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- "outputId": "7665b29e-7489-469f-ac00-dbd90d9bbe0c"
 
 
 
 
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  },
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  "outputs": [
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  {
@@ -219,7 +414,7 @@
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  "# gradio interface Setup\n",
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  "image = gr.Image()\n",
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  "label = gr.Label()\n",
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- "examples = ['/content/bear1.jpg', '/content/bear2.jpg', '/content/bear3.jpg', '/content/bear4.jpg']\n",
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  "\n",
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  "intf = gr.Interface(fn = classify_image, inputs = image, outputs = label, examples = examples).launch()"
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  ]
 
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  "cells": [
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  "cell_type": "code",
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+ "execution_count": 4,
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  "metadata": {
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  "base_uri": "https://localhost:8080/"
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+ "outputId": "0eb4e49b-e0bc-41ab-f75a-d404141a1191",
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+ "slideshow": {
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+ "slide_type": ""
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+ },
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+ "tags": []
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  },
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+ "outputs": [
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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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+ "\u001b[?25h Created wheel for ffmpy: filename=ffmpy-0.3.1-py3-none-any.whl size=5579 sha256=795f3c4dd1d184ba6162b37602d4e538cac01d79ee2a96270555a769e029a0ec\n",
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+ "Successfully built ffmpy\n",
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+ "Installing collected packages: pydub, ffmpy, websockets, tomlkit, semantic-version, python-multipart, orjson, h11, fsspec, aiofiles, uvicorn, starlette, huggingface-hub, httpcore, httpx, fastapi, gradio-client, altair, gradio\n",
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+ "Successfully installed aiofiles-23.2.1 altair-5.2.0 fastapi-0.108.0 ffmpy-0.3.1 fsspec-2023.12.2 gradio-4.12.0 gradio-client-0.8.0 h11-0.14.0 httpcore-1.0.2 httpx-0.26.0 huggingface-hub-0.20.1 orjson-3.9.10 pydub-0.25.1 python-multipart-0.0.6 semantic-version-2.10.0 starlette-0.32.0.post1 tomlkit-0.12.0 uvicorn-0.25.0 websockets-11.0.3\n"
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+ ]
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+ }
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+ ],
194
  "source": [
195
  "!pip install gradio nbdev"
196
  ]
 
332
  "cell_type": "code",
333
  "execution_count": 8,
334
  "metadata": {
335
+ "editable": true,
336
+ "id": "nc2O48TScW_7",
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+ "slideshow": {
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+ "slide_type": ""
339
+ },
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+ "tags": []
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  },
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  "outputs": [],
343
  "source": [
344
  "#|export\n",
345
  "# creating inference\n",
346
+ "learn = load_learner('content/bearClassifier.pkl')"
347
  ]
348
  },
349
  {
350
  "cell_type": "code",
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  "execution_count": 9,
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  "metadata": {
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+ "editable": true,
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+ "id": "dGC3UmI4c3QY",
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+ "slideshow": {
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+ "slide_type": ""
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+ },
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+ "tags": []
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  },
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  "outputs": [],
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  "source": [
 
375
  "base_uri": "https://localhost:8080/",
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  "height": 646
377
  },
378
+ "editable": true,
379
  "id": "jLrBazuoddxB",
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+ "outputId": "7665b29e-7489-469f-ac00-dbd90d9bbe0c",
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+ "slideshow": {
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+ "slide_type": ""
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+ },
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+ "tags": []
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  },
386
  "outputs": [
387
  {
 
414
  "# gradio interface Setup\n",
415
  "image = gr.Image()\n",
416
  "label = gr.Label()\n",
417
+ "examples = ['content/bear1.jpg', 'content/bear2.jpg', 'content/bear3.jpg', 'content/bear4.jpg']\n",
418
  "\n",
419
  "intf = gr.Interface(fn = classify_image, inputs = image, outputs = label, examples = examples).launch()"
420
  ]
app.py CHANGED
@@ -10,7 +10,7 @@ import gradio as gr
10
 
11
  # %% 02_BearClassifierDeployment.ipynb 5
12
  # creating inference
13
- learn = load_learner('/content/bearClassifier.pkl')
14
 
15
  # %% 02_BearClassifierDeployment.ipynb 6
16
  categories = ('Black', 'Grizzly', 'Teddy')
@@ -23,6 +23,6 @@ def classify_image(img):
23
  # gradio interface Setup
24
  image = gr.Image()
25
  label = gr.Label()
26
- examples = ['/content/bear1.jpg', '/content/bear2.jpg', '/content/bear3.jpg', '/content/bear4.jpg']
27
 
28
  intf = gr.Interface(fn = classify_image, inputs = image, outputs = label, examples = examples).launch()
 
10
 
11
  # %% 02_BearClassifierDeployment.ipynb 5
12
  # creating inference
13
+ learn = load_learner('content/bearClassifier.pkl')
14
 
15
  # %% 02_BearClassifierDeployment.ipynb 6
16
  categories = ('Black', 'Grizzly', 'Teddy')
 
23
  # gradio interface Setup
24
  image = gr.Image()
25
  label = gr.Label()
26
+ examples = ['content/bear1.jpg', 'content/bear2.jpg', 'content/bear3.jpg', 'content/bear4.jpg']
27
 
28
  intf = gr.Interface(fn = classify_image, inputs = image, outputs = label, examples = examples).launch()
content/bear1.jpgο€ΊZone.Identifier DELETED
@@ -1,4 +0,0 @@
1
- [ZoneTransfer]
2
- ZoneId=3
3
- ReferrerUrl=https://www.google.com/
4
- HostUrl=https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQOJd_2nLmMzF0BmSWyqdCIOw1BikaDZcmXdg&usqp=CAU
 
 
 
 
 
content/bear2.jpgο€ΊZone.Identifier DELETED
@@ -1,4 +0,0 @@
1
- [ZoneTransfer]
2
- ZoneId=3
3
- ReferrerUrl=https://www.google.com/
4
- HostUrl=https://files.worldwildlife.org/wwfcmsprod/images/Brown_Bear_/story_full_width/3box0qwlkk_brownbear_hero.jpg
 
 
 
 
 
content/bear3.jpgο€ΊZone.Identifier DELETED
@@ -1,4 +0,0 @@
1
- [ZoneTransfer]
2
- ZoneId=3
3
- ReferrerUrl=https://www.google.com/
4
- HostUrl=https://i.pinimg.com/1200x/33/cb/fe/33cbfe9d3fa1d433c0972e8e983b9814.jpg
 
 
 
 
 
content/bear4.jpgο€ΊZone.Identifier DELETED
@@ -1,4 +0,0 @@
1
- [ZoneTransfer]
2
- ZoneId=3
3
- ReferrerUrl=https://www.google.com/
4
- HostUrl=https://www.google.com/