how to train tensorflow chat application on updated dataset everyday
The distribution of your data won't change too much over a smaller period of time, retraining from scratch seems like a waste. Just add the new data to your set and do one or more epochs on all your data, not just the new ones. It can readjust the weights a little bit for changes in the distribution which is exactly what you want. Make sure you are not overreliant on early stopping as regularization method against overfitting because you continuously train like this, use some other regularizer. I would suggest periodically to retrain from scratch but this doesn't have to happen very regularly, maybe once every two months.