Create app.py

app.py

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+import gradio as gr
+from fastai.vision.all import *
+import skimage
+
+
+learn = load_learner('model.pkl')
+#from huggingface_hub import from_pretrained_fastai
+#learn = from_pretrained_fastai("devdatanalytics/commonbean")
+
+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 = "Common beans diseases classfier"
+#description = "An app for Common beans diseases Classisfication"
+#article="<p style='text-align: center'>The app identifies and classifies common beans diseases: Anthracnose and Bean rust.</p>"
+examples = ['image.jpeg']
+interpretation='default'
+enable_queue=True
+
+gr.Interface(fn=predict,inputs=gr.inputs.Image(shape=(512, 512)),outputs=gr.outputs.Label(num_top_classes=3),examples=examples,interpretation=interpretation,enable_queue=enable_queue).launch()