Update model to v2

app.py

@@ -11,14 +11,14 @@ def predict(img):
     return {labels[i]: float(probs[i]) for i in range(len(labels))}
 
 title = "Emotion Classifier"
-description = "An emotion classifier trained on AffectNet with fastai. Identifies emotions of anger, contempt, disgust, fear, happy, neutral, surprise, and sad."
+description = "An emotion classifier trained on AffectNet with fastai. Identifies emotions of anger, disgust, fear, happy, neutral, and sad."
 
-examples = ["happy.jpg", "neutral.jpg", "sad.jpg", "angry.jpg", "contempt.jpg", "fear.jpg", "surprise.jpg", "disgust.jpg"]
+examples = ["happy.jpg", "neutral.jpg", "sad.jpg", "angry.jpg", "fear.jpg", "disgust.jpg"]
 
 gr.Interface(
         fn=predict,
         inputs=gr.inputs.Image(shape=(224, 224)),
-        outputs=gr.outputs.Label(num_top_classes=3),
+        outputs=gr.outputs.Label(),
         title=title,
         description=description,
         examples=examples,

export.pkl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1fc5eb70037524e6ec9d011ba612e208a9ac95ed9a9feec0a9d0d84ffac3e3e5
-size 242786647
+oid sha256:2657c44c57ddd966f12825333059e05a94116ff9edbb7c5b6e95cba8f5f3074c
+size 242595533