Smol changes

.gitignore

@@ -0,0 +1,2 @@
+.ipynb_checkpoints/
+flagged/

.ipynb_checkpoints/notebook-checkpoint.ipynb

@@ -50,7 +50,7 @@
    "outputs": [],
    "source": [
     "#|export\n",
-    "learn = load_learner('model.pkl')"
+    "learn = load_learner('cycle-model.pkl')"
    ]
   },
   {
@@ -203,7 +203,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "images/tricycle.png is a unicycle\n"
+      "images/tricycle.png is a tricycle\n"
      ]
     }
    ],
@@ -290,7 +290,7 @@
     }
    ],
    "source": [
-    "nbdev.export.nb_export('test.ipynb', 'app')\n",
+    "nbdev.export.nb_export('notebook.ipynb', '')\n",
     "print('Export successful')"
    ]
   }

README.md

@@ -5,7 +5,7 @@ colorFrom: red
 colorTo: indigo
 sdk: gradio
 sdk_version: 4.16.0
-app_file: app/app.py
+app_file: app.py
 pinned: false
 license: apache-2.0
 ---

app/app.py → app.py

@@ -1,24 +1,24 @@
-# AUTOGENERATED! DO NOT EDIT! File to edit: ../notebook.ipynb.
+# AUTOGENERATED! DO NOT EDIT! File to edit: notebook.ipynb.
 
 # %% auto 0
 __all__ = ['learn', 'categories', 'image', 'label', 'intf', 'classify_image']
 
-# %% ../notebook.ipynb 2
+# %% notebook.ipynb 2
 from fastai.vision.all import *
 import gradio as gr
 import timm
 
-# %% ../notebook.ipynb 3
-learn = load_learner('model.pkl')
+# %% notebook.ipynb 3
+learn = load_learner('cycle-model.pkl')
 
-# %% ../notebook.ipynb 4
+# %% notebook.ipynb 4
 categories = learn.dls.vocab
 
 def classify_image(img):
     pred,idx,probs = learn.predict(img)
     return dict(zip(categories, map(float,probs)))
 
-# %% ../notebook.ipynb 6
+# %% notebook.ipynb 6
 image = gr.Image()
 label = gr.Label()
 

notebook.ipynb

@@ -50,7 +50,7 @@
    "outputs": [],
    "source": [
     "#|export\n",
-    "learn = load_learner('model.pkl')"
+    "learn = load_learner('cycle-model.pkl')"
    ]
   },
   {
@@ -203,7 +203,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "images/tricycle.png is a unicycle\n"
+      "images/tricycle.png is a tricycle\n"
      ]
     }
    ],
@@ -229,7 +229,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Running on local URL:  http://127.0.0.1:7861\n",
+      "Running on local URL:  http://127.0.0.1:7860\n",
       "\n",
       "To create a public link, set `share=True` in `launch()`.\n"
      ]
@@ -237,7 +237,7 @@
     {
      "data": {
       "text/html": [
-       "<div><iframe src=\"http://127.0.0.1:7861/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
+       "<div><iframe src=\"http://127.0.0.1:7860/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -290,7 +290,7 @@
     }
    ],
    "source": [
-    "nbdev.export.nb_export('notebook.ipynb', 'app')\n",
+    "nbdev.export.nb_export('notebook.ipynb', '')\n",
     "print('Export successful')"
    ]
   }