Pytorch-nlp-Chatbot 0.1.0

An example python project

PyTorch-NLP-chatbot

NLP and its uses in creating an intelligent responsive chatbot to interact with users.

Overview

PyTorch-NLP-chatbot is a Python library for user to easily build their own chatbot based on their interest and focus.

Users can create chatbot with different fields and improve the accuracy by NLP algorithm.

Python Search Engine Library

This Python library is a simple implementation of a search engine using the Google Search API. This library was developed by Koro_Is_Coding and is licensed under Apache v2.0.

Prerequisites

Before you begin, ensure you have met the following requirements:

• You have a Windows/Linux/Mac machine running Python 3.6+.
• You have installed the requests, and scikit-learn libraries.

Installation

1. Clone this repository on your local machine:

git clone https://github.com/KoroIsCoding/PyTorch-NLP-chatbot

2. Navigate to the cloned repository:

cd PyTorch-NLP-chatbot

3. Install the required dependencies:

pip install requests scikit-learn

Using the Search Engine Library

The SearchEngineStruct class is the main class for the search engine. It requires a Google API key and a Google Engine key for initialization.

Here's a simple usage example:

from search_engine import SearchEngineStruct

# Initialize the search engine
search_engine = SearchEngineStruct(google_api_key='YOUR_API_KEY', google_engine_key='YOUR_ENGINE_KEY')

# Define your query
search_engine.query = 'Your search query'

# Run the search engine (this is a simplified example, actual implementation may require more steps)
search_engine.run()

Please replace 'YOUR_API_KEY' and 'YOUR_ENGINE_KEY' with your actual Google API key and Google Engine key respectively.

Contributing

If you want to contribute to this library, please check out the CONTRIBUTING.md file.

License

This project uses the following license: Apache v2.0.