more fixes

app copy.py

@@ -1,17 +0,0 @@
-from fastai.vision.all import *
-import gradio as gr
-
-learn = load_learner('catornot_model.pkl')
-
-categories = ('Dog', 'Cat')
-
-def classify_image(img):
-    pred, idx, probs = learn.predict(img)
-    return dict(zip(categories, map(float, probs)))
-
-image = gr.inputs.Image(shape=(192, 192))
-label = gr.outputs.Label()
-examples = ['dog.jpg', 'cat.jpg', 'dunno.jpg']
-
-intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
-intf.launch(inline=False)

app.ipynb

@@ -165,8 +165,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "CPU times: user 2.03 s, sys: 2.22 s, total: 4.24 s\n",
-      "Wall time: 284 ms\n"
+      "CPU times: user 1.33 s, sys: 1.57 s, total: 2.9 s\n",
+      "Wall time: 197 ms\n"
      ]
     },
     {
@@ -315,7 +315,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 9,
    "id": "4083f107-04ed-4248-9acd-45f142a0869f",
    "metadata": {},
    "outputs": [],