deleted 3 bak files

.gitignore.bak

@@ -1 +0,0 @@
-/predictcovidfastaifinal18102023.pkl

app.py.bak

@@ -1,21 +0,0 @@
-import gradio as gr
-from fastai.vision.all import *
-from efficientnet_pytorch import EfficientNet 
-
-learn = load_learner('/model/predictcovidfastaifinal18102023.pkl')
-
-categories = learn.dls.vocab
-
-def predict_image(get_image):
-   pred, idx, probs = learn.predict(get_image)
-   return dict(zip(categories, map(float, probs)))
-
-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
-
-gr.Interface(fn=predict_image, inputs=gr.Image(shape=(224,224)),
-             outputs = gr.Label(num_top_classes=3),title=title,description=description,examples=examples,article=article, interpretation=interpretation,enable_queue=enable_queue).launch(share=False)

style.css

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-html,
-body {
-    font-family: Arial, Helvetica, sans-serif;
-}
-
-.container {
-    margin: 40px auto;
-    width: max(50vw, 400px);
-    display: flex;
-    flex-direction: column;
-    align-items: center;
-}
-
-.custom-file-upload {
-    display: flex;
-    align-items: center;
-    cursor: pointer;
-    gap: 10px;
-    border: 2px solid black;
-    padding: 8px 16px;
-    cursor: pointer;
-    border-radius: 6px;
-}
-
-#file-upload {
-    display: none;
-}
-
-.upload-icon {
-    width: 30px;
-}
-
-#image-container {
-    width: 100%;
-    margin-top: 20px;
-    position: relative;
-}
-
-#image-container>img {
-    width: 100%;
-}