Create app.py

app.py

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+__all__ = ['learn', 'classify_image', 'categories', 'image', 'label', 'examples', 'intf']
+
+from fastai.vision.all import *
+import gradio as gr
+
+learn = load_learner('export.pkl')
+#export.pkl is the name of the neural network file, change accordingly
+
+categories = ('cuts_and_wounds', 'fracture', 'rash', 'splinter')
+def classify_image(img):
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+image=gr.Image(height = 192, width = 192)
+label = gr.Label()
+examples = ['Cuts_for_nn.jpeg', 'Fracture_examp.jpeg', 'Rash.jpeg', 'Splinter_examp.jpeg']
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)