PlaneRecognizer is ready

app.py

@@ -1,7 +1,29 @@
+# AUTOGENERATED! DO NOT EDIT! File to edit: GradioImplemetation.ipynb.
+
+# %% auto 0
+__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'is_cat', 'classify_image']
+
+# %% GradioImplemetation.ipynb 1
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+def is_cat(x): return x[0].isupper()
+
+# %% GradioImplemetation.ipynb 4
+learn = load_learner('PlaneRecognizer.pkl')
+
+# %% GradioImplemetation.ipynb 6
+categories = ('Airbus A320','Airbus A380','Boeing 737','Boeing 747')
+
+def classify_image(img):
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float,probs)))
+
+# %% GradioImplemetation.ipynb 8
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+examples = ['A388.jpg','AA320.jpg']
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label,examples=examples)
+intf.launch(inline=False)
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()