wip

app.py

@@ -1,7 +1,29 @@
+# AUTOGENERATED! DO NOT EDIT! File to edit: ../app.ipynb.
+
+# %% auto 0
+__all__ = ['learn', 'categories', 'image', 'label', 'intf', 'classify_image']
+
+# %% ../app.ipynb 2
+from fastai.vision.all import *
+from PIL import Image
+import matplotlib.pyplot as plt
 import gradio as gr
+from nbdev.export import nb_export
+
+# %% ../app.ipynb 5
+learn = load_learner('models/02.pkl')
+
+# %% ../app.ipynb 7
+categories = ('tfs', 'xk', 'dbt', 'pbs', 'rwo', 'hth', 'itb')
+
+def classify_image(img):
+    pred, idx, probs = learn.predict(img)
+    
+    return dict(zip(sorted(categories), map(float, probs)))
 
-def greet(name):
-    return f"Sup, {name} 🤙?"
+# %% ../app.ipynb 9
+image = gr.Image(height=192, width=192)
+label = gr.Label()
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=example_image_paths)
+intf.launch(inline=False)