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As you can see in Line 3 of Algorithm 2, you have to train the model by teacher forcing first, then you are able to start the GAN training, otherwise the self conversation process doesn't succeed. I suggest to start with the pre-trained weights provided in https://github.com/oswaldoludwig/Seq2seq-Chatbot-for-Keras (the ones trained by teacher forcing).
See train_bot.py in https://github.com/oswaldoludwig/Seq2seq-Chatbot-for-Keras . If you want to see the result of this GAN method (using the trained discriminator), you can run the file conversation_discriminator.py and compare to the performance of conversation.py, which was trained by teacher forcing.
I am trying to create weight file for my data. Model is giving gibberish responses.
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