Hotel Booking ChatBot (SastaBot9)

demo.webm

SastaBot9 is a chatbot powered by the OpenAI API, designed to assist customers with hotel bookings through chat. It integrates a Telegram bot for easy interaction, allowing users to inquire about available rooms or book directly from their Telegram app.

Project Setup

Follow these steps to get SastaBot9 up and running on your local machine.

Cloning the Repository

First, clone the repository to your local machine:

git clone https://github.com/garvit420/hotel-booking-chatbot.git
cd hotel-booking-chatbot

Installing Dependencies

Install the necessary dependencies for both the root project and the Telegram bot.

• For the root directory:

npm install

• For the Telegram bot directory:

cd telegram-bot
npm install
cd ..

Setting Up Environment Variables

You need to set up environment variables for both the OpenAI API key in the root directory and the Telegram bot token in the telegram-bot folder.

• OpenAI API Key: Sign up at OpenAI to get your API key. Create a [.env] file in the root directory and add your OpenAI API

OPENAI_API_KEY="your_openai_api_key_here"
PORT=3000

• Telegram Bot Token: Create a bot with BotFather on Telegram to get your bot token. Create a .env file in the telegram-bot directory and add your Telegram bot token:

TELEGRAM_BOT_TOKEN="your_telegram_bot_token_here"

Running the Servers

Start the servers to get the chatbot running. First, run the main server:

node index.js

Then, in a new terminal window, navigate to the telegram-bot folder and run the Telegram bot:

cd telegram-bot
node bot.js

Starting a Conversation

Open your Telegram app, search for your bot by the username you set up with BotFather, and start a conversation!

Testing the Bot Without UI

You can test the bot functionality without using the Telegram UI by making API calls directly to the /chat endpoint.

Example POST request:

curl -X POST http://localhost:3000/chat \
-H "Content-Type: application/json" \
-d '{"message": "Hello, I would like to book a hotel room."}'

This will send a message to your chatbot, and you should receive a response based on the bot's logic and integration with the OpenAI API.