loading model

app.py

@@ -1,7 +1,21 @@
 import gradio as gr
+from fastai.vision.all import *
 
-def greet(name):
-    return "Hello " + name + "!!"
+# load model
+learn = load_learner('seasons_model.pkl')
+categories = ('Fall', 'Winter', 'Spring', 'Summer')
+# categories = learn.dls.vocab
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+# classifier
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(categories,map(float,probs)))
+
+# Gradio inputs
+image = gr.inputs.Image(shape=(224,224))
+label = gr.outputs.Label()
+examples = ['fall_photo.jpeg', 'winter_photo.jpeg', 'spring_photo.jpeg', 'summer_photo.jpeg']
+
+# Interface
+iface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+iface.launch(inline=False)