stray coyote
I'm trying to use the model in backend with flask simply,
I used .h5 to save the model to use in the flask backend.
but I'm little confused to as what the arguments would be for our model.predict() method when using the model already trained for new input.
Below are the images or if possible files attached.
Based on the model what should be input to our method for backend usage.
mighty spoke
In tensorflow (2), calling model.predict() is like calling model() or model.call() with the training argument set to False. Make sure that your inputs are the same format as when you were training the model. Since you used model.Sequential from Tensorflow, just look at the format your x was in. If it was in a structured tuple, ie (text, text_len, num_timesteps), then you will have to pass in a structured tuple of the same type as your training x.
