Create app.py

app.py

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+import gradio as gr
+from fastai.vision.all import *
+import skimage
+learn = load_learner('howdy_mody.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 = "Modi, 2014ka, 2021ka"
+description = "Its fun project to predict whether modi image is from 2014 time period or from 2021, based on his beard size"
+article="<p style='text-align: center'><a href='https://github.com/mldurga/projects/blob/master/Fire_smoke_detector.ipynb' target='_blank'>Blog post</a></p>"
+interpretation='default'
+#examples = ['Neutral2.jpeg','smoke1.jpeg','smoke2.jpeg','fire1.png']
+
+enable_queue=True
+gr.Interface(fn=predict,inputs=gr.inputs.Image(shape=(512, 512)),outputs=gr.outputs.Label(num_top_classes=3),title=title,description=description,article=article,interpretation=interpretation,enable_queue=enable_queue).launch()