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Anthony-Ml
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9ef33e3
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6a8cbba
Added 2 more images
Browse files- app.py +1 -3
- app.py.bak +1 -1
app.py
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@@ -12,9 +12,7 @@ def predict_image(get_image):
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title = "Detect COVID_19 Infection Xray Chest Images"
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description = "A covid19 infection classifier trained on the anasmohammedtahir/covidqu dataset with efficientnetb0 base model. Created demo using Gradio and HuggingFace Spaces."
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examples = [
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['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'],
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['non_covid/nc.png', 'non_covid/non_COVID (10606).png', 'non_covid/non_COVID (10607).png', 'non_covid/non_COVID (10608).png', 'non_covid/non_COVID (10609).png', 'non_covid/non_COVID (10610).png']]
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article="<p style='text-align: center'><a href='https://www.kaggle.com/datasets/anasmohammedtahir/covidqu' target='_blank'>COVID-QU-Ex Dataset</a></p>"
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interpretation='default'
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enable_queue=True
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title = "Detect COVID_19 Infection Xray Chest Images"
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description = "A covid19 infection classifier trained on the anasmohammedtahir/covidqu dataset with efficientnetb0 base model. Created demo using Gradio and HuggingFace Spaces."
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examples = ['/covid']
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article="<p style='text-align: center'><a href='https://www.kaggle.com/datasets/anasmohammedtahir/covidqu' target='_blank'>COVID-QU-Ex Dataset</a></p>"
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interpretation='default'
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enable_queue=True
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app.py.bak
CHANGED
@@ -14,7 +14,7 @@ title = "Detect COVID_19 Infection Xray Chest Images"
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description = "A covid19 infection classifier trained on the anasmohammedtahir/covidqu dataset with efficientnetb0 base model. Created demo using Gradio and HuggingFace Spaces."
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examples = [
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['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'],
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['
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article="<p style='text-align: center'><a href='https://www.kaggle.com/datasets/anasmohammedtahir/covidqu' target='_blank'>COVID-QU-Ex Dataset</a></p>"
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interpretation='default'
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enable_queue=True
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description = "A covid19 infection classifier trained on the anasmohammedtahir/covidqu dataset with efficientnetb0 base model. Created demo using Gradio and HuggingFace Spaces."
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examples = [
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['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'],
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['non_covid/nc.png', 'non_covid/non_COVID (10606).png', 'non_covid/non_COVID (10607).png', 'non_covid/non_COVID (10608).png', 'non_covid/non_COVID (10609).png', 'non_covid/non_COVID (10610).png']]
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article="<p style='text-align: center'><a href='https://www.kaggle.com/datasets/anasmohammedtahir/covidqu' target='_blank'>COVID-QU-Ex Dataset</a></p>"
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interpretation='default'
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enable_queue=True
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