ad

app.py

@@ -1,7 +1,31 @@
+# AUTOGENERATED! DO NOT EDIT! File to edit: ../Model2.5Run.ipynb.
+
+# %% auto 0
+__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'what_direction', 'filename_to_class', 'classify_images']
+
+# %% ../Model2.5Run.ipynb 1
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+def what_direction(x): return x[0].isupper()
+
+def filename_to_class(filename: str) -> str:
+    return filename.split("_")[0]
+
+# %% ../Model2.5Run.ipynb 3
+learn = load_learner('learner.pkl')
+
+# %% ../Model2.5Run.ipynb 5
+categories = ('forward', 'left', 'right')
+
+def classify_images(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(categories, map(float,probs)))
+
+# %% ../Model2.5Run.ipynb 7
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+examples = ['IMG_1167.JPG', 'IMG_0968.JPG', 'IMG_1251.JPG', 'IMG_1365.JPG', 'IMG_1437.JPG']
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+intf = gr.Interface(fn=classify_images, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)