use correct export syntax for nbdev

app.ipynb

@@ -181,7 +181,7 @@
     }
    ],
    "source": [
-    "#export\n",
+    "#|export\n",
     "learn = load_learner('model.pkl')"
    ]
   },
@@ -265,7 +265,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "#export\n",
+    "#|export\n",
     "categories = learn.dls.vocab\n",
     "\n",
     "def classify_image(img):\n",
@@ -414,7 +414,7 @@
     }
    ],
    "source": [
-    "#export\n",
+    "#|export\n",
     "image = gr.inputs.Image(shape=(192, 192))\n",
     "label = gr.outputs.Label()\n",
     "examples = ['dog.jpeg']"
@@ -483,7 +483,7 @@
     }
    ],
    "source": [
-    "#export\n",
+    "#|export\n",
     "intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)\n",
     "intf.launch(inline=False)"
    ]
@@ -793,62 +793,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": null,
    "id": "10d7900d",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[Parameter containing:\n",
-       " tensor([ 1.2545e+00,  1.9196e+00,  1.2201e+00,  1.0390e+00, -1.6480e-03,\n",
-       "          7.6568e-01,  8.8830e-01,  1.6302e+00,  7.0489e-01,  3.2909e+00,\n",
-       "          7.8756e-01, -1.2321e-03,  1.0008e+00, -1.1701e-03,  3.2963e+00,\n",
-       "          7.5332e-04,  1.9848e+00,  1.0214e+00,  4.4530e+00,  2.5485e-01,\n",
-       "          2.7261e+00,  9.2749e-01,  1.2365e+00,  4.6786e-03,  1.7861e+00,\n",
-       "          5.4500e-01,  4.6252e+00,  1.1814e-02, -8.0696e-04,  3.4503e+00,\n",
-       "          1.3520e+00,  4.1267e+00,  2.6889e+00,  4.1214e+00,  3.4020e+00,\n",
-       "          8.4680e-01,  7.3639e-01,  3.9801e+00,  1.2857e+00,  6.4153e-01,\n",
-       "          2.6896e+00,  1.1183e+00,  1.1701e+00,  5.5256e-01,  2.3371e+00,\n",
-       "          2.6110e-04,  9.7016e-01,  2.1527e-03,  1.1990e+00,  1.7883e+00,\n",
-       "          4.0231e-01,  4.4849e-01,  9.7238e-01,  3.9889e+00,  6.5864e-01,\n",
-       "          6.8973e-01,  9.8424e-01,  2.7063e+00,  1.2161e+00,  7.5966e-01,\n",
-       "          3.3019e+00,  1.6209e+00,  9.5479e-01,  2.1214e+00,  6.2982e-01,\n",
-       "          4.0345e+00,  8.9406e-01, -1.5776e-03,  4.0855e+00,  1.0646e+00,\n",
-       "          1.3953e+00,  1.6694e+00,  7.7575e-04,  7.6740e-01,  8.8671e-01,\n",
-       "          6.4291e-01,  1.3444e+00,  7.1629e-01,  5.4538e-01,  2.0897e+00,\n",
-       "          1.1951e+00,  3.0924e-01,  2.9660e-01,  1.4705e+00,  4.0818e+00,\n",
-       "         -1.9466e-03,  1.1466e+00,  3.8855e+00,  3.6003e+00,  4.8230e-01,\n",
-       "          2.1677e-01,  1.2715e-03,  6.5100e-01,  3.0062e+00,  3.0463e+00,\n",
-       "          6.9039e-03], requires_grad=True),\n",
-       " Parameter containing:\n",
-       " tensor([-9.7076e-02, -4.1602e-02,  4.1634e+00, -1.0902e-02,  2.5195e-03,\n",
-       "         -2.6698e-02, -3.1112e-02, -8.0897e-02, -1.3977e-01, -6.1426e-02,\n",
-       "          3.2092e-01, -3.3970e-01, -5.7320e-02, -5.0723e-03, -4.5248e-02,\n",
-       "         -2.6788e-02, -4.0929e-02, -3.8162e-02,  8.6140e-03, -2.3497e-02,\n",
-       "          9.3659e-03, -1.6219e-01, -4.0165e+00,  5.3178e-01, -5.3446e-01,\n",
-       "          2.8025e+00,  3.7767e-02, -8.2848e-03, -1.0448e-03, -1.1741e-01,\n",
-       "         -1.3899e-01,  1.9646e-02, -9.6837e-02, -1.3024e-01, -1.9224e-01,\n",
-       "         -6.6514e-02, -3.5839e-02, -1.2878e-01,  1.5046e-01,  7.7289e-04,\n",
-       "         -6.4686e-02,  5.7553e-02, -9.2985e-02, -1.1460e+00, -5.4285e-02,\n",
-       "         -5.4245e-03, -1.8200e-01,  2.2406e-02,  3.9471e-02, -5.9339e-02,\n",
-       "         -4.1768e-02, -5.6190e-02, -4.3428e-02, -1.2965e-02, -1.1264e-01,\n",
-       "          4.9255e-03, -3.7258e-02, -1.5767e-01, -9.7796e-02, -1.8840e-01,\n",
-       "         -1.1216e-01, -1.8182e-01, -3.2907e-02, -2.8298e-02,  1.4188e+00,\n",
-       "         -3.3801e-02, -4.1863e-02, -2.6832e-01, -4.7449e-02, -4.5676e-05,\n",
-       "          2.6773e-01,  1.8772e-01,  6.9789e-01, -3.0746e-01,  8.3766e-02,\n",
-       "         -1.0845e+00,  1.5364e-02, -4.4824e-02, -7.7240e-02, -6.7920e-02,\n",
-       "         -1.3150e-01, -1.6358e-02, -1.7351e-02, -3.9939e-02, -7.2383e-02,\n",
-       "          1.0359e-02, -5.8904e-02, -3.8567e-02, -7.9783e-02, -7.3791e-02,\n",
-       "         -1.0318e-02, -3.7690e-01, -9.9740e-03, -2.7374e-02, -6.3630e-02,\n",
-       "          1.5712e-03], requires_grad=True)]"
-      ]
-     },
-     "execution_count": 20,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "l = m.get_submodule('0.model.stem.1')\n",
     "list(l.parameters())"
@@ -949,14 +897,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 19,
    "id": "ff9d5c73",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Export successful\n"
+     ]
+    }
+   ],
    "source": [
     "import nbdev\n",
     "\n",
-    "nbdev.export.nb_export()"
+    "nbdev.export.nb_export('app.ipynb','')\n",
+    "print('Export successful')"
    ]
   }
  ],