importing all of fast ai vision

app.ipynb

@@ -9,14 +9,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [],
    "source": [
     "#|default_exp app\n",
     "#|export\n",
     "# creating a python image library from the image\n",
-    "from fastai.vision.all import *\n",
+    "from fastai.vision import *\n",
     "import gradio as gr\n",
     "\n",
     "def is_cat(x): return x[0].isupper()"
@@ -24,7 +24,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
@@ -35,7 +35,7 @@
        "PILImage mode=RGB size=144x192"
       ]
      },
-     "execution_count": 2,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -48,7 +48,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -63,7 +63,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
@@ -95,14 +95,7 @@
     },
     {
      "data": {
-      "text/html": [
-       "\n",
-       "    <div>\n",
-       "      <progress value='0' class='' max='1' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
-       "      0.00% [0/1 00:00&lt;?]\n",
-       "    </div>\n",
-       "    "
-      ],
+      "text/html": [],
       "text/plain": [
        "<IPython.core.display.HTML object>"
       ]
@@ -116,7 +109,7 @@
        "('False', tensor(0), tensor([0.9858, 0.0142]))"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -127,7 +120,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -141,7 +134,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
@@ -173,14 +166,7 @@
     },
     {
      "data": {
-      "text/html": [
-       "\n",
-       "    <div>\n",
-       "      <progress value='0' class='' max='1' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
-       "      0.00% [0/1 00:00&lt;?]\n",
-       "    </div>\n",
-       "    "
-      ],
+      "text/html": [],
       "text/plain": [
        "<IPython.core.display.HTML object>"
       ]
@@ -194,7 +180,7 @@
        "{'Dog': 0.9858279228210449, 'Cat': 0.01417205948382616}"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -205,15 +191,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Running on local URL:  http://127.0.0.1:7863\n",
-      "Running on public URL: https://2aef778e2162a73217.gradio.live\n",
+      "Running on local URL:  http://127.0.0.1:7864\n",
+      "Running on public URL: https://c2ad9393bc08a7f37f.gradio.live\n",
       "\n",
       "This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from Terminal to deploy to Spaces (https://huggingface.co/spaces)\n"
      ]
@@ -222,7 +208,7 @@
      "data": {
       "text/plain": []
      },
-     "execution_count": 7,
+     "execution_count": 18,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -240,7 +226,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -249,7 +235,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -258,7 +244,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [
     {
@@ -281,7 +267,7 @@
        "       requires_grad=True)"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 21,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -304,7 +290,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [
     {

app.py

@@ -5,7 +5,7 @@ __all__ = ['temp', 'learn', 'categories', 'image', 'label', 'examples', 'intf',
 
 # %% ../app.ipynb 1
 # creating a python image library from the image
-from fastai.vision.all import *
+from fastai.vision import *
 import gradio as gr
 
 def is_cat(x): return x[0].isupper()

app/app.py

@@ -5,7 +5,7 @@ __all__ = ['temp', 'learn', 'categories', 'image', 'label', 'examples', 'intf',
 
 # %% ../app.ipynb 1
 # creating a python image library from the image
-from fastai.vision.all import *
+from fastai.vision import *
 import gradio as gr
 
 def is_cat(x): return x[0].isupper()