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covid_predictor

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Anthony-Ml commited on Oct 21, 2023

Commit

001d98d

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1 Parent(s): 1229e02

Update the app and gitignore files

Files changed (4) hide show

.gitignore CHANGED Viewed

	@@ -1 +1 @@
1	- /model/


1	+ /model/predictcovidfastaifinal18102023.pkl

.gitignore.bak CHANGED Viewed

	@@ -1 +1 @@
1	- /model/~~predictcovidfastaifinal18102023.pkl~~


1	+ /model/

app.py CHANGED Viewed

@@ -2,7 +2,7 @@ import gradio as gr
 from fastai.vision.all import *
 from efficientnet_pytorch import EfficientNet
-learn = load_learner('/model/predictcovidfastaifinal18102023.pkl')
 categories = learn.dls.vocab
@@ -12,7 +12,7 @@ def predict_image(get_image):
 title = "Detect COVID_19 Infection Xray Chest Images"
 description = "A covid19 infection classifier trained on the anasmohammedtahir/covidqu dataset with efficientnetb0 base model. Created demo using Gradio and HuggingFace Spaces."
-examples = ['/covid/covid_1038.png', '/covid/covid_1034.png', '/covid/cd.png', '/covid/covid_1021.png', '/covid/covid_1027.png', '/covid/covid_1042.png', '/covid/covid_1031.png']
 article="<p style='text-align: center'><a href='https://www.kaggle.com/datasets/anasmohammedtahir/covidqu' target='_blank'>COVID-QU-Ex Dataset</a></p>"
 interpretation='default'
 enable_queue=True

 from fastai.vision.all import *
 from efficientnet_pytorch import EfficientNet
+learn = load_learner('model/predictcovidfastaifinal18102023.pkl')
 categories = learn.dls.vocab
 title = "Detect COVID_19 Infection Xray Chest Images"
 description = "A covid19 infection classifier trained on the anasmohammedtahir/covidqu dataset with efficientnetb0 base model. Created demo using Gradio and HuggingFace Spaces."
+examples = ['covid/covid_1038.png', 'covid/covid_1034.png', 'covid/cd.png', 'covid/covid_1021.png', 'covid/covid_1027.png', 'covid/covid_1042.png', 'covid/covid_1031.png']
 article="<p style='text-align: center'><a href='https://www.kaggle.com/datasets/anasmohammedtahir/covidqu' target='_blank'>COVID-QU-Ex Dataset</a></p>"
 interpretation='default'
 enable_queue=True

app.py.bak CHANGED Viewed

@@ -2,7 +2,7 @@ import gradio as gr
 from fastai.vision.all import *
 from efficientnet_pytorch import EfficientNet
-learn = load_learner('predictcovidfastaifinal18102023.pkl')
 categories = learn.dls.vocab
@@ -12,8 +12,7 @@ def predict_image(get_image):
 title = "Detect COVID_19 Infection Xray Chest Images"
 description = "A covid19 infection classifier trained on the anasmohammedtahir/covidqu dataset with efficientnetb0 base model. Created demo using Gradio and HuggingFace Spaces."
-examples = ['covid_1038.png', 'covid_1034.png']
-examples = ['non_COVID (10610).png', 'non_COVID (10609).png']
 article="<p style='text-align: center'><a href='https://www.kaggle.com/datasets/anasmohammedtahir/covidqu' target='_blank'>COVID-QU-Ex Dataset</a></p>"
 interpretation='default'
 enable_queue=True

 from fastai.vision.all import *
 from efficientnet_pytorch import EfficientNet
+learn = load_learner('/model/predictcovidfastaifinal18102023.pkl')
 categories = learn.dls.vocab
 title = "Detect COVID_19 Infection Xray Chest Images"
 description = "A covid19 infection classifier trained on the anasmohammedtahir/covidqu dataset with efficientnetb0 base model. Created demo using Gradio and HuggingFace Spaces."
+examples = ['/covid/covid_1038.png', '/covid/covid_1034.png', '/covid/cd.png', '/covid/covid_1021.png', '/covid/covid_1027.png', '/covid/covid_1042.png', '/covid/covid_1031.png']
 article="<p style='text-align: center'><a href='https://www.kaggle.com/datasets/anasmohammedtahir/covidqu' target='_blank'>COVID-QU-Ex Dataset</a></p>"
 interpretation='default'
 enable_queue=True