Update app.py

app.py

@@ -1,13 +1,20 @@
 import gradio as gr
 from fastai.vision.all import *
 import skimage
+from facenet_pytorch import MTCNN
+import torch
+device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')
+print('Running on device: {}'.format(device))
+
+mtcnn = MTCNN(keep_all=True, device=device)
 
 learn = load_learner('export.pkl')
 
 labels = learn.dls.vocab
 def predict(img):
     img = PILImage.create(img)
-    pred,pred_idx,probs = learn.predict(img)
+    boxes, _ = mtcnn.detect(img)
+    pred,pred_idx,probs = learn.predict(img.crop(tuple(boxes[0].tolist())))
     return {labels[i]: float(probs[i]) for i in range(len(labels))}
  
 title = "Students emotion classifer"