<div align="center">
<img src="https://i.imgur.com/hA9YF2s.png" alt="Thomas" width="220" height="220">
<h1>Thomas the Chatbot</h1>
</div>
# Installation
**Python 3.9+ is required**
This package can be installed from [PyPi](https://pypi.org/project/thomasthechatbot/) with:
```
pip install thomasthechatbot
```
## CLI
Type `ttc` to begin talking to Thomas.
# How does Thomas work?
I wrote a [medium article](https://medium.com/@principle105/creating-a-python-chatbot-that-learns-as-you-speak-to-it-60b305d8f68f) to explain how Thomas works.
# Usage
## Basic Usage
```py
from ttc import Chatbot, Context, download_nltk_data
# Only needs to be run once (can be removed after first run)
download_nltk_data()
# Creating the context
ctx = Context()
# Initializing the chatbot
chatbot = Chatbot()
talk = True
while talk:
msg = input("You: ")
if msg == "s":
talk = False
else:
# Getting the response
resp = chatbot.respond(ctx, msg)
# Saving the response to the context
ctx.save_resp(resp)
print(f"Thomas: {resp}")
# Saving the chatbot data
chatbot.save_data()
```
## Configurations
```py
chatbot = Chatbot(
path="brain",
learn=False,
min_score=0.5,
score_threshold=0.5,
mesh_association=0.5,
)
```
# Contributing
Open to contributions, please create an issue if you want to do so.
# Formatting
[Black](https://github.com/psf/black), [isort](https://github.com/PyCQA/isort) and [Prettier](https://prettier.io/) are used for formatting
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"description": "<div align=\"center\">\n <img src=\"https://i.imgur.com/hA9YF2s.png\" alt=\"Thomas\" width=\"220\" height=\"220\">\n <h1>Thomas the Chatbot</h1>\n</div>\n\n\n\n# Installation\n\n**Python 3.9+ is required**\n\nThis package can be installed from [PyPi](https://pypi.org/project/thomasthechatbot/) with:\n\n```\npip install thomasthechatbot\n```\n\n## CLI\n\nType `ttc` to begin talking to Thomas.\n\n# How does Thomas work?\n\nI wrote a [medium article](https://medium.com/@principle105/creating-a-python-chatbot-that-learns-as-you-speak-to-it-60b305d8f68f) to explain how Thomas works.\n\n# Usage\n\n## Basic Usage\n\n```py\nfrom ttc import Chatbot, Context, download_nltk_data\n\n# Only needs to be run once (can be removed after first run)\ndownload_nltk_data()\n\n# Creating the context\nctx = Context()\n\n# Initializing the chatbot\nchatbot = Chatbot()\n\ntalk = True\n\nwhile talk:\n msg = input(\"You: \")\n\n if msg == \"s\":\n talk = False\n else:\n # Getting the response\n resp = chatbot.respond(ctx, msg)\n\n # Saving the response to the context\n ctx.save_resp(resp)\n\n print(f\"Thomas: {resp}\")\n\n# Saving the chatbot data\nchatbot.save_data()\n```\n\n## Configurations\n\n```py\nchatbot = Chatbot(\n path=\"brain\",\n learn=False,\n min_score=0.5,\n score_threshold=0.5,\n mesh_association=0.5,\n)\n```\n\n# Contributing\n\nOpen to contributions, please create an issue if you want to do so.\n\n# Formatting\n\n[Black](https://github.com/psf/black), [isort](https://github.com/PyCQA/isort) and [Prettier](https://prettier.io/) are used for formatting\n",
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