Add model

app.py

@@ -1,9 +1,20 @@
 import gradio as gr
+from fastai.vision.all import *
 
+learn = load_learner("export.pkl")
+labels = learn.dls.vocab
 
-def greet(name):
-    return "Hello " + name + "!!"
 
+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))}
+
+
+iface = gr.Interface(
+    fn=predict,
+    inputs=gr.inputs.Image(shape=(512, 512)),
+    outputs=gr.outputs.Label(num_top_classes=3),
+)
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
 iface.launch()

export.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:718c64e77dbdeb30090a7b3cf8ef56133613e9ea9efb94fa5dce488bf2b6a938
+size 87483937

requirements.txt

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