Create app.py

app.py

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+# Version 1.0. Copyright Colleen Mahr 2025
+
+import gradio as gr
+from fastai.vision.all import *
+import skimage
+
+learn = load_learner('export.pkl')
+
+labels = learn.dls.vocab
+def predict(img):
+    img = PILImage.create(img)
+    pred,pred_idx,probs = learn.predict(img)
+    return {labels[i]: float(probs[i]) for i in range(len(labels))}
+
+title = "Science Fair Cornea Ulcer Image Classifier"
+description = "Version 1.0.  Copyright Colleen Mahr 2025"
+#article = "<p style='text-align: center'><a href='https://tmabraham.github.io/blog/gradio_hf_spaces_tutorial' target='_blank'>Blog post</a></p>"
+examples = ['testitraceimage.jpeg']
+interpretation = 'default'
+enable_queue = True
+
+demo = gr.Interface(
+    fn=predict,
+    inputs=gr.Image(height = 512, width = 512),
+    outputs=gr.Label(num_top_classes=2),
+    title=title,
+    description=description,
+    #article=article,
+    #examples=examples,
+    #interpretation='default',
+    #enable_queue=enable_queue
+)
+
+demo.launch()