Toptopito commited on
Commit
212372e
·
1 Parent(s): 17745fc

path fixes

Browse files
Files changed (2) hide show
  1. app.py +6 -11
  2. requirements.txt +1 -2
app.py CHANGED
@@ -2,16 +2,11 @@ import gradio as gr
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  from fastai.vision.all import *
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- import pathlib
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-
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-
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- plt = platform.system()
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- if plt == 'Windows': pathlib.PosixPath = pathlib.WindowsPath
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- else: pathlib.WindowsPath = pathlib.PosixPath
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  # load model
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- learn = load_learner('./model.pkl')
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  categories = ('CLEAR', 'PNEUMONIA')
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@@ -19,10 +14,10 @@ def classify_image(img):
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  pred, idx, probs = learn.predict(img)
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  return dict(zip(categories, map(float, probs)))
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- examples = ['./unseen_data/NORMAL/NORMAL2-IM-1427-0001.jpeg',
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- './unseen_data/PNEUMONIA/person1946_bacteria_4874.jpeg',
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- './unseen_data/NORMAL/NORMAL2-IM-1430-0001.jpeg',
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- './unseen_data\PNEUMONIA\person1946_bacteria_4875.jpeg']
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  intf = gr.Interface(fn=classify_image, inputs=gr.Image(type='pil'), outputs=gr.Label(), examples=examples)
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  from fastai.vision.all import *
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+ cur_path = Path('.')
 
 
 
 
 
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  # load model
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+ learn = load_learner('model.pkl')
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  categories = ('CLEAR', 'PNEUMONIA')
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  pred, idx, probs = learn.predict(img)
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  return dict(zip(categories, map(float, probs)))
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+ examples = ['unseen_data/NORMAL/NORMAL2-IM-1427-0001.jpeg',
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+ 'unseen_data/PNEUMONIA/person1946_bacteria_4874.jpeg',
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+ 'unseen_data/NORMAL/NORMAL2-IM-1430-0001.jpeg',
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+ 'unseen_data\PNEUMONIA\person1946_bacteria_4875.jpeg']
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  intf = gr.Interface(fn=classify_image, inputs=gr.Image(type='pil'), outputs=gr.Label(), examples=examples)
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requirements.txt CHANGED
@@ -2,5 +2,4 @@ fastai
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  torch
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  gradio
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  numpy
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- pandas <2.0.0
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- pathlib
 
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  torch
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  gradio
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  numpy
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+ pandas <2.0.0