upadte pkm_model

app.py

@@ -1,28 +1,23 @@
 # AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb.
 
 # %% auto 0
-__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'is_cat', 'classify_image']
+__all__ = ['learn', 'req', 'pkm_lst', 'image', 'label', 'intf']
 
 # %% app.ipynb 1
 from fastai.vision.all import *
+from fastcore.all import *
 import gradio as gr
 
-def is_cat(x): return x[0].isupper()
-
 # %% app.ipynb 2
-learn = load_learner('model.pkl')
+learn = load_learner('pkm_model.pkl')
 
 # %% app.ipynb 3
-categories = ('Dog', 'Cat')
-
-def classify_image(img):
-    pred, idx, probs = learn.predict(img)
-    return dict(zip(categories, map(float, probs)))
+req = urlsend('https://pokeapi.co/api/v2/pokemon/', 'GET', query={'limit': '2000'})
+pkm_lst = [x['name'] for x in req['results']]
 
-# %% app.ipynb 4
+# %% app.ipynb 5
 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 = gr.Interface(fn=classify_image, inputs=image, outputs=label)
 intf.launch(inline=False)

pkm_model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:59f8ae36229ba612b77ab5782fdb6b870fcafa340c6262b007ea36db9278d73e
+size 50004587