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Anthony-Ml
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3b82920
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0fb22c2
Update app.py
Browse filesUpdate Gradio with Html code
app.py
CHANGED
@@ -12,19 +12,15 @@ def predict_image(get_image):
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return dict(zip(categories, map(float, probs)))
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title = "COVID_19 Infection Detectation App!"
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head = (
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"<center>"
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"<img src='covid/
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"
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"</center>"
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)
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description = """
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This Space demonstrates model based on efficientnet base model.
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The model is trained using [anasmohammedtahir/covidqu](https://www.kaggle.com/datasets/anasmohammedtahir/covidqu) dataset
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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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examples = [
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['covid/covid_1038.png'], ['covid/covid_1034.png'],
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return dict(zip(categories, map(float, probs)))
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title = "COVID_19 Infection Detectation App!"
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head = (
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"<center>"
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"<img src='covid/Xray Image SuperImposed Gradcam.png' width=400>"
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"This Space demonstrates model based on efficientnet base model. I has been trained to classify chest xray image.
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"To test it, Use the Example Images Provided or Upload your own xray images the space provided."
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"The model is trained using [anasmohammedtahir/covidqu](https://www.kaggle.com/datasets/anasmohammedtahir/covidqu) dataset"
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"</center>"
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)
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description = head
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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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examples = [
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['covid/covid_1038.png'], ['covid/covid_1034.png'],
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