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#!/usr/bin/env python
# coding: utf-8
# In[1]:
#get_ipython().run_line_magic('pip', 'install -q gradio')
#get_ipython().run_line_magic('pip', 'install fastbook')
#get_ipython().run_line_magic('pip', 'install -Uqq fastai')
# In[2]:
import fastbook
fastbook.setup_book()
from fastbook import *
from fastai.vision.widgets import *
from fastai.vision.all import *
import gradio as gr
# In[3]:
#!pip uninstall Pillow
#!pip install Pillow
# import PIL.Image
# if not hasattr(PIL.Image, 'Resampling'): # Pillow<9.0
# PIL.Image.Resampling = PIL.Image
# Now PIL.Image.Resampling.BICUBIC is always recognized.
# In[5]:
#import pathlib
#temp = pathlib.PosixPath
#pathlib.PosixPath = pathlib.WindowsPath
# In[8]:
learn_inf = load_learner('NovaOrToastModel.pkl')
learn_inf.dls.vocab # Reminds us of the categories
categories = learn_inf.dls.vocab
def classify_image(img):
pred, idx, probs = learn_inf.predict(img)
return dict(zip(categories, map(float,probs)))
image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ["ToastTest.jpeg"]
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.launch(inline=False)
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