first version of classifier

app.py

@@ -0,0 +1,14 @@
+from fastai.vision.all import *
+import gradio as gr
+
+
+def predict(img):
+    img = PILImage.create(img)
+    pred, pred_idx, probs = learn_inf.predict(img)
+    return {labels[i]: float(probs[i]) for i in range(len(labels))}
+
+
+learn_inf = load_learner('model/cat_dog_classifer.pkl')
+labels = learn_inf.dls.vocab
+gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(224, 224)),
+             outputs=gr.outputs.Label(num_top_classes=3)).launch(share=True)

model/cat_dog_classifier.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8e56f957ab5677bc43287f8d04817c5d568fabbe799425bb0ceee977dba88902
+size 46965370

requirements.txt

@@ -0,0 +1 @@
+fastai