use hf_hub_download to find the model

app.py

@@ -1,6 +1,10 @@
-__all__ = ['modelname', 'pokemon_types', 'pokemon_types_en', 'pokemon_types_fr', 'path', 'learn_inf', 'image', 'label',
-           'examples', 'intf', 'classify_image']
+# AUTOGENERATED! DO NOT EDIT! File to edit: ../pokemonclassifier.ipynb.
 
+# %% auto 0
+__all__ = ['modelname', 'pokemon_types', 'pokemon_types_en', 'pokemon_types_fr', 'learn_inf', 'image', 'label', 'examples',
+           'intf', 'classify_image']
+
+# %% ../pokemonclassifier.ipynb 3
 from fastai.vision.all import *
 
 modelname = 'model.pkl'
@@ -9,10 +13,14 @@ pokemon_types = pd.read_csv("pokemongen1patch.csv", nrows=20)
 pokemon_types_en = pokemon_types['en']
 pokemon_types_fr = pokemon_types['fr']
 
-path = 'Okkoman/PokeFace/' + modelname
-learn_inf = load_learner(path)
+# %% ../pokemonclassifier.ipynb 24
+from huggingface_hub import hf_hub_download
+from fastai.learner import load_learner
+
+learn_inf = load_learner(hf_hub_download("Okkoman/PokeFace", modelname))
 learn_inf.dls.vocab
 
+# %% ../pokemonclassifier.ipynb 28
 import gradio as gr
 
 def classify_image(img):
@@ -27,7 +35,7 @@ def classify_image(img):
 
 image = gr.inputs.Image(shape=(192,192))
 label = gr.outputs.Label()
-examples = ['pikachu.webp', 'bulbizarre.jpg', 'tortank.png']
+examples = ['images/pikachu.webp', 'images/bulbizarre.jpg', 'images/tortank.png']
 
 intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
 intf.launch(inline=False)