try cat"

app.py

@@ -0,0 +1,19 @@
+import gradio as gr
+from fastai.vision.all import *
+import skimage
+
+learn = load_learner(better_cat.pkl')
+
+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))}
+
+title = "Know your cat"
+description = "Cat Breed detection is hard. Use pic with cat only"
+examples = ['cat.png', 'Lasse Cat.png', 'Pumpking.png']
+interpretation='default'
+enable_queue=True
+
+gr.Interface(fn=predict,inputs=gr.inputs.Image(shape=(512, 512)),outputs=gr.outputs.Label(num_top_classes=3),title=title,description=description,examples=examples,interpretation=interpretation).launch()

requirements.txt

@@ -0,0 +1,2 @@
+fastai
+scikit-image