Create app.py

app.py

@@ -0,0 +1,21 @@
+# %% ../hugging-space-model-app.ipynb 4
+from fastai.vision.all import *
+import gradio as gr
+
+# %% ../hugging-space-model-app.ipynb 7
+learn = load_learner('model1.pkl')
+
+# %% ../hugging-space-model-app.ipynb 9
+labels = ['Dog','Cat']
+def classify_image(img):
+    img = PILImage.create(img)
+    pred,pred_idx,probs = learn.predict(img)
+    return {labels[i]: float(probs[i]) for i in range(len(labels))}
+
+# %% ../hugging-space-model-app.ipynb 11
+image = gr.components.Image()
+label = gr.components.Label(show_label=True)
+examples = ['dog.jpg','cat.jpg']
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)