mmshooreshi / web2bot

build your company's chatbot in seconds.

Web2Bot

Web2Bot is a chatbot that scrapes a company's website, creates a knowledge graph, and uses GPT-3.5 to provide chat support on Telegram. It can answer any question about the company that can be found on the website it scraped.

Table of Contents

• Features
• Requirements
• Installation
• Usage
• Contributing
• License

Features

• Scrape a company's website to gather information
• Create a knowledge graph from the scraped data
• Integrate GPT-3.5 to create a chatbot using the knowledge graph
• Connect the chatbot to a Telegram bot for chat support

Requirements

• Python 3.x
• Beautiful Soup or Scrapy (for web scraping)
• Neo4j or another graph database (for storing the knowledge graph)
• OpenAI API key (for GPT-3.5 integration)
• python-telegram-bot library (for Telegram bot integration)

Installation

1. Clone the repository: git clone https://github.com/mmshooreshi/web2bot.git cd web2bot Copy

2. Install the required dependencies: pip install -r requirements.txt Copy

3. Set up your environment variables: export OPENAI_API_KEY="your_openai_api_key" export TELEGRAM_BOT_TOKEN="your_telegram_bot_token" Copy

Usage

1. Run the web scraper to gather information from the company's website: python scraper.py --url "https://example.com" Copy

2. Create the knowledge graph from the scraped data: python create_knowledge_graph.py Copy

3. Start the Telegram bot: python telegram_bot.py Copy

4. Interact with the chatbot on Telegram by sending messages to your bot.

Contributing

1. Fork the repository on GitHub.
2. Create a new branch for your changes.
3. Commit your changes and push them to your fork.
4. Create a pull request to merge your changes into the main repository.

License

This project is licensed under the MIT License.