fixed bug for true/false classifier

app.py

@@ -2,13 +2,19 @@ import gradio as gr
 from fastai.vision.all import *
 import skimage
 
+# create function to distinguish dogs from cats
+def label_func(f): return f[0].isupper()
+
 learn = load_learner('export.pkl')
 
-labels = learn.dls.vocab
+# labels = learn.dls.vocab
 def predict(img):
     img = PILImage.create(img)
     pred,pred_idx,probs = learn.predict(img)
-    return {labels[i]: float(probs[i]) for i in range(len(labels))}
+    return pred
+    # return {labels[i]: float(probs[i]) for i in range(len(labels))}
+
+# ('False', TensorBase(0), TensorBase([9.9999e-01, 7.5253e-06]))
 
 title = "Dog Cat Classifier"
 description = "A dog cat classifier. Created as a demo for Gradio and HuggingFace Spaces."