Add model

app.py

@@ -1,7 +1,31 @@
 import gradio as gr
+from fastai.vision.all import *
 
-def greet(name):
-    return "Hello " + name + "!!"
+learn = load_learner("model.pkl")
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+categories = learn.dls.vocab
+
+
+def predict(img):
+    pred, pred_idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+
+title = "Bear Classifier"
+description = "A bear classifier trained on the images downloaded from bing serach with fastai."
+
+image = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label()
+examples = ["black_bear.jpg", "brizzly_bear.jpg", "teddy_bear.jpg"]
+interpretation = "default"
+enable_queue = True
+
+itf = gr.Interface(fn=predict,
+                   inputs=image,
+                   outputs=label,
+                   title=title,
+                   examples=examples,
+                   interpretation=interpretation,
+                   enable_queue=enable_queue)
+
+itf.launch()

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a833796d069acc4ac134e87f8044a6e29b0b872949fc77f19cac7d35ab40f72d
+size 46969551

requirements.txt

@@ -1 +1 @@
-gradio==3.39.0
+fastai