reduce py imports

app.py

@@ -1,17 +1,7 @@
 # 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'
-
-pokemon_types = pd.read_csv("pokemongen1patch.csv", nrows=20)
-pokemon_types_en = pokemon_types['en']
-pokemon_types_fr = pokemon_types['fr']
+__all__ = ['learn_inf', 'imagespath', 'image', 'label', 'examples', 'intf', 'classify_image']
 
 # %% ../pokemonclassifier.ipynb 24
 from huggingface_hub import hf_hub_download
@@ -19,6 +9,7 @@ from fastai.learner import load_learner
 
 learn_inf = load_learner(hf_hub_download("Okkoman/PokeFace", modelname))
 learn_inf.dls.vocab
+imagespath = ''
 
 # %% ../pokemonclassifier.ipynb 28
 import gradio as gr
@@ -35,7 +26,7 @@ def classify_image(img):
 
 image = gr.inputs.Image(shape=(192,192))
 label = gr.outputs.Label()
-examples = ['pikachu.webp', 'bulbizarre.jpg', 'tortank.png']
+examples = [f"{imagespath}pikachu.webp", f"{imagespath}bulbizarre.jpg", f"{imagespath}tortank.png"]
 
 intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
 intf.launch(inline=False)