Revert to old file

app.py

@@ -1,7 +1,22 @@
 import gradio as gr
+from fastai.vision.all import *
+import skimage
 
-def greet(name):
-    return "Hello " + name + "!!"
+learn = load_learner('bears.pkl')
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+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 = "Bear Classifier"
+description = "A bear classifier trained on internet image dataset with fastai."
+article="<p style='text-align: center'>Thank you</p>"
+examples = ['black_bear_example.jpg']
+enable_queue=True
+
+gr.Interface(fn=predict,inputs=gr.Image(shape=(512, 512)),
+             outputs=gr.Label(num_top_classes=3),title=title,
+             description=description,article=article,examples=examples).launch(
+    enable_queue=enable_queue)