minor fix

app.py

@@ -60,10 +60,10 @@ def inference(source_video, transcription):
     z = np.expand_dims(V,axis=0)
     x, y, z = torch.from_numpy(x).to(device), torch.from_numpy(y).to(device), torch.from_numpy(z).float().to(device)
     pred = net(x, y, z).cpu().data.numpy()[0]
-    pred = np.exp(pred) / np.sum(np.exp(pred)) # softmax
+    # pred = np.exp(pred) / np.sum(np.exp(pred)) # softmax
     label_to_ix = ['happy', 'sad', 'angry', 'fear', 'disgust', 'surprise']
     # result_dict = {label_to_ix[i]: float(pred[i]) for i in range(len(label_to_ix))}
-    result_dict = {label_to_ix[i]: pred[i]>0 for i in range(len(label_to_ix))}
+    result_dict = {label_to_ix[i]: float(pred[i])>0 for i in range(len(label_to_ix))}
     return result_dict