Comments (4)
Hi, thanks for this repo. I was seeing the dialog_simple` and i was wondering if there is some key to separate one dialogue from other, or all the file is token as a single dialogue.
Thanks again!
from seq2seq-chatbot-for-keras.
Hi
Thanks! I made available the training data that I collected for this pre-trained model, see https://www.dropbox.com/sh/o0rze9dulwmon8b/AAA6g6QoKM8hBEHGst6W4JGDa?dl=0 . Therefore, now you can repeat all the process to obtain the trained bot. You will see that you can have the bot chatting with you after only 50 training epoch! (half hour in GPU by setting the learning rate as lr=0.0005). This is not a usual seq2seq model, this model can learn faster. I changed split_qa.py (line 8) to set the correct file name.
Good luck!
from seq2seq-chatbot-for-keras.
Thank you!
The file at line 2752 begins to have B:
and A:
can explain the significance of those prefixes? I don't see anything in the code.
from seq2seq-chatbot-for-keras.
This means person a and b. These prefixes are filtered by the algorithm, it doesn't matter.
from seq2seq-chatbot-for-keras.
Related Issues (20)
- Parameters of the model ? HOT 1
- limit = l[0][0] - IndexError: index 0 is out of bounds for axis 0 with size 0 HOT 5
- Error while running conversation.py HOT 6
- TypeError: Value passed to parameter 'shape' has DataType float32 not in list of allowed values: int32, int64 HOT 8
- NameError: name 'embedding_matrix' is not defined HOT 3
- Getting AttributeError:int cannot find replace. HOT 5
- TypeError: 'module' object is not callable when executing train_bot.py HOT 4
- enhancement - investigate supplying conda environment.yml / requirements.txt with exported python 2.7.6 dependencies HOT 2
- Not a big deal, but Ubuntu does not like the spaces in the names HOT 4
- Any documentation on how to train it on our own data for the new GAN based algorithm? HOT 1
- eroor while running conversation.py HOT 1
- Any suggestion for large datasets? HOT 1
- how many data
- Python 3.7.x Theano AssertionError when starting the model in conversation.py HOT 2
- training custom data HOT 1
- where did you proposes a persona embedding? HOT 2
- how a new vocabulary file can be generated? HOT 5
- KeyError:Something HOT 4
- File vocabulary_movie HOT 3
- The file seq2seq_model.h5 isnt exist
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from seq2seq-chatbot-for-keras.