Welcome to the Chatbot Template guide. This template provides a solid foundation for building a chatbot application. It includes a user-friendly interface and backend logic to handle user messages and respond accordingly. The template uses HTML, CSS (with TailwindCSS for styling), JavaScript for the frontend, and Python with Flask for the backend server.
To begin using this template, simply click on "Start with this Template" on the Lazy platform. This will set up the template in your Lazy Builder interface, pre-populating the code so you can start customizing and testing your chatbot right away.
Once you have customized the template to your liking, press the "Test" button. This will deploy your application on the Lazy platform. If the code requires any user input, the Lazy CLI will prompt you to provide it after pressing the "Test" button.
After deployment, you will be provided with a dedicated server link to interact with your chatbot. The frontend interface allows users to type messages and receive responses from the chatbot. The messages are sent to the backend, processed, and the chatbot's reply is displayed on the screen.
If you wish to integrate the chatbot into an external service or frontend, you can use the server link provided by Lazy. This link can be added to your service to enable communication between the chatbot and users. If you need to make API calls to the chatbot, you can use the provided endpoint '/send_message' to send user messages and receive chatbot responses.
Here is an example of how you might use the chatbot's API endpoint:
fetch('YOUR_SERVER_LINK/send_message', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
},
body: JSON.stringify({ message: 'Hello, chatbot!' }),
})
.then(response => response.json())
.then(data => console.log(data.message))
.catch(error => console.error('Error:', error));
Replace 'YOUR_SERVER_LINK' with the actual server link provided after deploying your app.
If you need to integrate this chatbot with other tools or services, ensure you follow the specific steps required by those tools to add the chatbot's server link or API endpoints.
Remember, no additional setup for the 'abilities' module is required, as it is built into the Lazy platform.
By following these steps, you should have a fully functional chatbot application ready to interact with users and be integrated into your service.