Create app.py

app.py

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+from fastai.vision.all import *
+import gradio as gr
+from enum import Enum
+
+class Phase(Enum):
+    FIRST_QUARTER = "First Quarter"
+    FULL_MOON = "Full Moon"
+    NEW_MOON = "New Moon"
+    THIRD_QUARTER = "Thrid Quarter"
+    WANING_CRESCENT = "Waning Crescent"
+    WANING_GIBBOUS = "Waning Gibbous"
+    WAXING_CRESCENT = "Waxing Crescent"
+    WAXING_GIBBOUS = "Waxing Gibbous"
+
+#import model
+learn = load_learner('moon_v1.pkl')
+
+#create gradio interface
+def classify_image(image):
+    pred, idx, probs = learn.predict(image)
+    return dict(zip(Phase._value2member_map_, map(float, probs)))
+
+#define the inputs and ouputs for the gradio interface
+image = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label()
+examples = ['moon1.jpg', 'moon2.jpg', 'moon3.jpg']
+
+#What function do you call to get the output
+intf = gr.Interface(fn=classify_image, inputs= image, outputs=label, examples=examples)
+intf.launch(inline=False)