ChatGPT AI Bot for Whatsapp (Text, Audio, Images) with no-code

Launching AI Bots in No-Code Approach

In this video, the speaker introduces a no-code approach to building powerful AI bots for any use case using OpenAI and Google Cloud. The speaker explains that they have done all the boring work for you and you can simply start with Rowy's backend template.

Building a WhatsApp Bot

• To build a WhatsApp bot, create a table from any of the templates available on Rowy.

• Supply your own API key as well as the Twilio account.

• Deploy cloud functions.

• Rowy gives you prebuilt automation code that listens for WhatsApp messages gets the answer from Chad GPT and replies to the WhatsApp message.

Testing Your WhatsApp Bot

• Hook up the web hook URL from here to your WhatsApp account on Twilio. You can find complete details of this on the site information panel on your table.

• Send a message to your WhatsApp sender number that you set up and test it out by asking questions like "When was apple founded?" or "How about Microsoft?" or even just "Google?" It should be able to answer them all!

Customizing Your Bot

• You can tweak this logic of the AI replies in the prompt by changing the logic in the derivative column.

• There are many examples of prompts in demo apps, such as limiting replies to just travel planning or bedtime stories, or even having audio response using text-to-speech API like PlayHT, or generating images using stable diffusion.

Building a Scalable Backend with No-Code Style

In this video, the speaker discusses how to build a scalable backend using a no-code style. The data is stored on a database like Firestore and the functions are deployed to your own Google Cloud.

Template-Based Backend Development

• Start with a template and tweak it as needed.

• This approach allows for building powerful backends without coding.

Storing Data on Firestore

• Data is stored on a database like Firestore.

• Firestore is fully scalable and can handle large amounts of data.

Deploying Functions to Google Cloud

• Functions are deployed to your own Google Cloud.

• This allows for building powerful backends that can be accessed from frontend apps.

Conclusion

• Building a scalable backend using no-code style is an easy process that can be done by starting with templates and tweaking them as needed. The data is stored on databases like Firestore, which are fully scalable, and functions are deployed to your own Google Cloud.