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https://github.com/elysian01/ai-chatbot

Python library for building custom AI chatbot with just one line of code.
https://github.com/elysian01/ai-chatbot

ai-chatbot bag-of-words bert chatbot custom-chatbot lstm-neural-networks python python-library seq2seq

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Python library for building custom AI chatbot with just one line of code.

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# AI-Chatbot 🤖

[![Downloads](https://static.pepy.tech/personalized-badge/aichatbot?period=total&units=international_system&left_color=black&right_color=orange&left_text=Downloads)](https://pepy.tech/project/aichatbot)

### Python library for building custom AI Chatbot with just one line of code.

## Get Started

Install the package
```
pip install aichatbot
```

Load the module
```python
import aichatbot as bot
```

**Create the `intents file` by following format**

```json
{
"intents": [
{
"tag": "tag name",
"patterns": ["example-1 of user query", "example-2 of user query", "example-3"],
"responses": ["bot response-1", "bot response-2", "bot response-3"]
}
]
}
```

The `patterns` contains a list of example `expected user query`, which user will enter and `responses` contains the list of `bot response`.

Whenever a user inputs a query, bot will find the closest match with the `patterns`, and then select a random response from the list of `responses` specified under that pattern name.

**Example**

```json
{
"intents": [
{
"tag": "greeting",
"patterns": ["Hi", "How are you", "Is anyone there?", "Hello", "Good day"],
"responses": ["Hello, thanks for visiting", "Good to see you again", "Hi there, how can I help?"]
},{
"tag": "goodbye",
"patterns": ["Bye", "See you later", "Goodbye"],
"responses": ["See you later, thanks for visiting", "Have a nice day", "Bye! Come back again soon."]
}
]
}
```

**Create the model**

```python
filenames = {
"intents": "./data/basic_intents.json",
"dir": "dumps"
}

bot_model = bot.Create(filenames, technique="bow")
```

`intents` : Path to your intents file.

`dir`: Specify the directory where you want to save the bot model.

`technique`: Choose among [ bow | lstm | bert ]

That's it 😊, **Start your conversation**
```python
bot.start(bot_model)
```

Optional Parameter:

`end_conversation` : Contains strings to stop the chatbot.

`end_response` : Output Message when bot quits

Example:
```python
bot.start(bot_model, end_conversation=["/stop", "quit"], end_response="Thankyou for your time :)")
```

Python Package: https://pypi.org/project/aichatbot/