Delete app.py

app.py

@@ -1,20 +0,0 @@
-import gradio as gr
-from fastai.vision.all import *
-import skimage
-
-learn = load_learner('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 fastai. Created demo using Gradio and HuggingFace Spaces."
-examples = ['/content/dataset/val/normal/Normal (10001).png']
-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,interpretation=interpretation,enable_queue=enable_queue).launch(share=False)