Gradio first update

app.py

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+import pathlib
+temp = pathlib.PosixPath
+pathlib.PosixPath = pathlib.WindowsPath
+
+from fastai.vision.all import *
+import gradio as gr
+
+def emotion(x): return x[0].isupper()
+
+learn = load_learner('emotion_classifier_model.pkl')
+
+categories = ('angry', 'anxious', 'calm', 'disgusted','happy', 'sad', 'scared')
+
+def classify_images(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(categories, map(float,probs)))
+
+image = gr.Image(shape=(192,192))
+label = gr.Label()
+examples = ['emotions/scared.jpg', 'emotions/happy.jpg', 'emotions/sad.jpg', 'emotions/angry.jpg']
+
+intf = gr.Interface(fn=classify_images, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)

emotion_classifier_model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:f50c45b0490880924835de25dcf335be1021de7c71fbcbad77c7d30423fc5995
+size 46983019