initial commit

app.py

@@ -0,0 +1,26 @@
+
+from fastai.vision.all import *
+import gradio as gr
+
+def label_func(f): return f[0] == 'p'
+def acc_camvid(*_): pass
+def get_y(*_): pass
+
+learner = load_learner('my_export.pkl')
+
+categories = ('Poison Ivy', 'Not Poison Ivy')
+
+
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(categories, map(float,probs))
+
+image = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label()
+examples = ["pepe.jpg"]
+
+
+
+demo = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+demo.launch(inline=False)
+