Making text generator python using LSTM Tensorflow | NLP for beginners

NLP tutorials text generator python for the beginners through neural networks
-We will try to learn about poem generation using the long short term memory (LSTM) and concepts of NLP (natural language processing) in TensorFlow.
- This is the second video in the AI chatbot build series that we are doing. This also behaves as a tutorial for guys starting in NLP as I myself is new in this field.
-We are using this machine learning model for generating poems. The dataset consists of poems from Robert Frost.
-LSTM comes under recurrent neural network which is best in-text generation as it back propagates to predict accurately.
-We are also going to use different models of Keras to perform specific functions in model generation.
-We are using Google Colab to build our model where running python files are much easier just like Jupyter notebook.

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[sidraibrahim]

seed_text = 'i am feeling good today'
next_words = 10

predict_words(seed_text, next_words)

this cell is not showing output.

[alikummail]

why it is training so slow it is taking 40 minutes approx. on each epochs to train can i reduce that time?

[thelastone]

Thank you very much. please, I want to convert this model to LSTM, not bi-directional LSTM ? how

[suwarnabaraskar]

the text you have took " i am feeling good today" this text is from poem that poem data you have taken????

[yagnakarthikvaka]

hey bro how can we increase accuracy? please help me asap