tddy

app.py

@@ -1,18 +1,16 @@
 import gradio as gr
 from fastai.vision.all import *
 
-def is_cat(x): return x[0].is_upper()
-
 
 learn = load_learner('model.pkl')
 
-categories = ("Dog", "Cat")
+categories = ('black','grizzly','teddy')
 
 def classify_image(img):
     prob, idx, probs = learn.predict(img)
     return dict(zip(categories, map(float, probs)))
 
-examples = []
+examples = ['ted.jpeg']
 
 iface = gr.Interface(fn=classify_image, inputs=gr.Image(type="pil"), outputs=gr.Label(num_top_classes=2), examples = examples)
 iface.launch(inline=False)