Use resnet34 model trained on FER-2013 dataset

app.py

@@ -1,8 +1,13 @@
 import gradio as gr
+from fastai.vision.all import *
 
-def greet(name):
-    return "Hello " + name + "!!"
+learn = load_learner('model-v4.pkl')
+labels = learn.dls.vocab
+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=greet, inputs="text", outputs="text")
+iface = gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(48,48)), outputs=gr.outputs.Label(num_top_classes=3))
 iface.launch()
 

model-v4.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:57e120bbe39f8f49182fe92fd6b932d988e43dc758ad378715641ae3bd800977
+size 87860833