Add application files

.gitattributes

@@ -1,35 +1,35 @@
-*.7z filter=lfs diff=lfs merge=lfs -text
-*.arrow filter=lfs diff=lfs merge=lfs -text
-*.bin filter=lfs diff=lfs merge=lfs -text
-*.bz2 filter=lfs diff=lfs merge=lfs -text
-*.ckpt filter=lfs diff=lfs merge=lfs -text
-*.ftz filter=lfs diff=lfs merge=lfs -text
-*.gz filter=lfs diff=lfs merge=lfs -text
-*.h5 filter=lfs diff=lfs merge=lfs -text
-*.joblib filter=lfs diff=lfs merge=lfs -text
-*.lfs.* filter=lfs diff=lfs merge=lfs -text
-*.mlmodel filter=lfs diff=lfs merge=lfs -text
-*.model filter=lfs diff=lfs merge=lfs -text
-*.msgpack filter=lfs diff=lfs merge=lfs -text
-*.npy filter=lfs diff=lfs merge=lfs -text
-*.npz filter=lfs diff=lfs merge=lfs -text
-*.onnx filter=lfs diff=lfs merge=lfs -text
-*.ot filter=lfs diff=lfs merge=lfs -text
-*.parquet filter=lfs diff=lfs merge=lfs -text
-*.pb filter=lfs diff=lfs merge=lfs -text
-*.pickle filter=lfs diff=lfs merge=lfs -text
-*.pkl filter=lfs diff=lfs merge=lfs -text
-*.pt filter=lfs diff=lfs merge=lfs -text
-*.pth filter=lfs diff=lfs merge=lfs -text
-*.rar filter=lfs diff=lfs merge=lfs -text
-*.safetensors filter=lfs diff=lfs merge=lfs -text
-saved_model/**/* filter=lfs diff=lfs merge=lfs -text
-*.tar.* filter=lfs diff=lfs merge=lfs -text
-*.tflite filter=lfs diff=lfs merge=lfs -text
-*.tgz filter=lfs diff=lfs merge=lfs -text
-*.wasm filter=lfs diff=lfs merge=lfs -text
-*.xz filter=lfs diff=lfs merge=lfs -text
-*.zip filter=lfs diff=lfs merge=lfs -text
-*.zst filter=lfs diff=lfs merge=lfs -text
-*tfevents* filter=lfs diff=lfs merge=lfs -text
-car.jpg filter=lfs diff=lfs merge=lfs -text
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+car.jpg filter=lfs diff=lfs merge=lfs -text

.gitignore

@@ -1,3 +1,3 @@
-./bin/
-../bin/
+./bin/
+../bin/
 bin/

app.py

@@ -1,63 +1,63 @@
-# AUTOGENERATED! DO NOT EDIT! File to edit: model.ipynb.
-
-# %% auto 0
-__all__ = ['posix_backup', 'learn_inf', 'categories', 'image', 'label', 'examples', 'enable_queue', 'intf', 'classify_image']
-
-# %% model.ipynb 3
-#libraries
-# Make sure we've got the latest version of fastai:
-#%pip install -Uqq fastai
-#!pip install fastbook
-#pip install nbdev
-#! [ -e /content ] && pip install -Uqq fastbook"""
-#!pip install pipreqs
-#!pip install nbconvert
-
-import pathlib
-import fastbook
-import gradio as gr
-import nbdev
-import time
-import os
-import pipreqs
-import nbconvert
-fastbook.setup_book()
-
-#plt = platform.system()
-#print(plt)
-#if plt == 'Linux': pathlib.PosixPath = pathlib.WindowsPath
-#if plt == 'Windows': pathlib.WindowsPath = pathlib.PosixPath 
-posix_backup = pathlib.PosixPath
-try:
-    pathlib.PosixPath = pathlib.WindowsPath
-finally:
-    pathlib.PosixPath = posix_backup
-
-
-from fastbook import *
-from fastai.vision.widgets import *
-from fastai.vision.all import *
-from fastai.vision.all import *
-from time import sleep
-from fastcore.net import urljson, HTTPError
-
-
-# %% model.ipynb 50
-learn_inf = load_learner(Path('model.pkl'))
-
-
-# %% model.ipynb 54
-categories = ('car','truck','toy car')
-
-def classify_image(img):
-    pred,pred_idx,probs = learn_inf.predict(img)
-    return dict(zip(categories,map(float,probs)))
-
-
-# %% model.ipynb 55
-image = gr.inputs.Image(shape=(224,224)) #resize uploaded image -- good to align with your original resizing
-label = gr.outputs.Label(num_top_classes=3)
-examples = ['images/car.jpg']
-enable_queue=True
-intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples,enable_queue=enable_queue)
-intf.launch(share=True, inline = False)
+# AUTOGENERATED! DO NOT EDIT! File to edit: model.ipynb.
+
+# %% auto 0
+__all__ = ['posix_backup', 'learn_inf', 'categories', 'image', 'label', 'examples', 'enable_queue', 'intf', 'classify_image']
+
+# %% model.ipynb 3
+#libraries
+# Make sure we've got the latest version of fastai:
+#%pip install -Uqq fastai
+#!pip install fastbook
+#pip install nbdev
+#! [ -e /content ] && pip install -Uqq fastbook"""
+#!pip install pipreqs
+#!pip install nbconvert
+
+import pathlib
+import fastbook
+import gradio as gr
+import nbdev
+import time
+import os
+import pipreqs
+import nbconvert
+fastbook.setup_book()
+
+#plt = platform.system()
+#print(plt)
+#if plt == 'Linux': pathlib.PosixPath = pathlib.WindowsPath
+#if plt == 'Windows': pathlib.WindowsPath = pathlib.PosixPath 
+posix_backup = pathlib.PosixPath
+try:
+    pathlib.PosixPath = pathlib.WindowsPath
+finally:
+    pathlib.PosixPath = posix_backup
+
+
+from fastbook import *
+from fastai.vision.widgets import *
+from fastai.vision.all import *
+from fastai.vision.all import *
+from time import sleep
+from fastcore.net import urljson, HTTPError
+
+
+# %% model.ipynb 50
+learn_inf = load_learner(Path('model.pkl'))
+
+
+# %% model.ipynb 54
+categories = ('car','truck','toy car')
+
+def classify_image(img):
+    pred,pred_idx,probs = learn_inf.predict(img)
+    return dict(zip(categories,map(float,probs)))
+
+
+# %% model.ipynb 55
+image = gr.inputs.Image(shape=(224,224)) #resize uploaded image -- good to align with your original resizing
+label = gr.outputs.Label(num_top_classes=3)
+examples = ['images/car.jpg']
+enable_queue=True
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples,enable_queue=enable_queue)
+intf.launch(share=True, inline = False)

model.ipynb

@@ -1264,7 +1264,7 @@
    "source": [
     "#|export \n",
     "\n",
-    "learn_inf = load_learner(Path('model.pkl'))\n"
+    "learn_inf = load_learner('model.pkl')\n"
    ]
   },
   {
@@ -1415,6 +1415,43 @@
      "text": [
       "Export successful\n"
      ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "<style>\n",
+       "    /* Turns off some styling */\n",
+       "    progress {\n",
+       "        /* gets rid of default border in Firefox and Opera. */\n",
+       "        border: none;\n",
+       "        /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
+       "        background-size: auto;\n",
+       "    }\n",
+       "    progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
+       "        background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
+       "    }\n",
+       "    .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
+       "        background: #F44336;\n",
+       "    }\n",
+       "</style>\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [

requirements.txt

@@ -1,7 +1,7 @@
-fastai==2.7.10
-fastbook==0.0.29
-fastcore==1.5.27
-gradio==3.16.2
-nbconvert==6.5.3
-nbdev==2.3.9
-pipreqs==0.4.11
+fastai==2.7.10
+fastbook==0.0.29
+fastcore==1.5.27
+gradio==3.16.2
+nbconvert==6.5.3
+nbdev==2.3.9
+pipreqs==0.4.11