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- [Scipy](https://www.scipy.org/)
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- [Matplotlib](https://matplotlib.org/)
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- [Natural Language Toolkit](https://www.nltk.org/)
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- [Cpython](https://pypi.org/project/cPython/)
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- [NLTK](https://pypi.org/project/nltk/)
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- [Setup Tools](https://pypi.org/project/setuptools/)
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- [Pylint](https://pypi.org/project/pylint/)
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- [Spacy](https://pypi.org/project/spacy/)
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- [Pickle](https://pypi.org/project/pickle-mixin/)
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- [TensorFlow](https://pypi.org/project/tensorflow/)
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- [Keras](https://pypi.org/project/Keras/)
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## Docker
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1. `cd /PATH/TO/UMICH_NCLT_SLAP/src`
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2. `docker-compose run --rm python-dev`
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### Semantic Language Parsing: Chatbot
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For standalone testing of the chatbot, run the following commands
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1. `cd /PATH/TO/UMICH_NCLT_SLAP/src/semantic`
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2. `python gui_chatbot.py`
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You can update the models by changing the intent or pickle files. Intent.json can be changed wiht a basic text editor and pickles can be read and changed using pickleManage.py.
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1. `cd /PATH/TO/UMICH_NCLT_SLAP/src/datset/dataManipulation/pickles`
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2. `python`
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3. `from pickleManage import *`
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4. Use desired functions. Functions are documented with examples in pickleManage.py file.
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To update the models are making changes run:
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'python
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