delete unnecessary files

Untitled-1.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -15,7 +15,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -26,7 +26,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -37,7 +37,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -83,7 +83,7 @@
        "('False', tensor(0), tensor([9.9983e-01, 1.6505e-04]))"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -96,7 +96,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -110,7 +110,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -156,7 +156,7 @@
        "{'dog': 0.9998348951339722, 'cat': 0.00016504859377164394}"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -167,7 +167,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -195,7 +195,7 @@
      "data": {
       "text/plain": []
      },
-     "execution_count": 11,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -213,12 +213,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
     "import nbdev\n",
-    "nbdev.export.nb_export('Untitled-1.ipynb', 'app.py')"
+    "nbdev.export.nb_export('Untitled-1.ipynb')"
    ]
   }
  ],

app.py/app/py.py

@@ -1,30 +0,0 @@
-# AUTOGENERATED! DO NOT EDIT! File to edit: ../../Untitled-1.ipynb.
-
-# %% auto 0
-__all__ = ['model_path', 'learn', 'categories', 'is_cat', 'classify_image']
-
-# %% ../../Untitled-1.ipynb 0
-import gradio as gr
-from fastai.vision.all import *
-def is_cat(x): return x[0].isupper()
-
-# %% ../../Untitled-1.ipynb 2
-model_path = Path('model.pkl')
-learn = load_learner(model_path)
-
-# %% ../../Untitled-1.ipynb 4
-categories = ('dog', 'cat')
-
-def classify_image(img):
-    pred,idx,probs = learn.predict(img)
-    return dict(zip(categories, map(float,probs)))
-
-
-# %% ../../Untitled-1.ipynb 6
-gr.Interface(fn = classify_image, 
-             inputs="image", 
-             outputs="label", 
-             title = "Dog or Cat", 
-             description="Sample workflow", 
-             examples = ['dog.jpg']
-             ).launch()

app/app/py.py

@@ -1,30 +0,0 @@
-# AUTOGENERATED! DO NOT EDIT! File to edit: ../../Untitled-1.ipynb.
-
-# %% auto 0
-__all__ = ['model_path', 'learn', 'categories', 'is_cat', 'classify_image']
-
-# %% ../../Untitled-1.ipynb 0
-import gradio as gr
-from fastai.vision.all import *
-def is_cat(x): return x[0].isupper()
-
-# %% ../../Untitled-1.ipynb 2
-model_path = Path('model.pkl')
-learn = load_learner(model_path)
-
-# %% ../../Untitled-1.ipynb 4
-categories = ('dog', 'cat')
-
-def classify_image(img):
-    pred,idx,probs = learn.predict(img)
-    return dict(zip(categories, map(float,probs)))
-
-
-# %% ../../Untitled-1.ipynb 6
-gr.Interface(fn = classify_image, 
-             inputs="image", 
-             outputs="label", 
-             title = "Dog or Cat", 
-             description="Sample workflow", 
-             examples = ['dog.jpg']
-             ).launch()