Main program

app.py

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+import gradio as gr
+from fastai.vision.all import *
+import skimage
+
+learn = load_learner('export.pkl')
+
+labels = learner.dls.vocab
+def predict(img):
+  img = PILImage.create(img)
+  pred,pred_idx,probs = learner.predict(img)
+  return {labels[i]: float(probs[i]) for i in range(len(labels))}
+
+
+gr.Interface(enable_queue= true,title= "Ivy League Logo/Emblem Classifier",fn=predict, inputs=gr.inputs.Image(shape=(256,256)), outputs=gr.outputs.Label(num_top_classes=3),examples=[fnames[0],fnames[1],fnames[2],fnames[3],fnames[4],fnames[5],fnames[6],fnames[7]]).launch(share=True)

requirements.txt

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+fastai
+scikit-image