In the fast-paced world of artificial intelligence, selecting the right libraries and frameworks can make a significant difference in the performance and usability of your chatbots. We’re excited to share that we’re transitioning to the lightweight and easily deployable @whiskeysocketsbaileys library for our WhatsApp AI Bot. This change will enhance our bot’s reliability while keeping it lightweight and efficient.

Step-by-Step Guide for Transition

The branch is still under construction, and while we only support a limited number of models currently, we plan to expand our offerings soon. Here’s a simple step-by-step guide on how to set up your bot using the @whiskeysocketsbaileys library:

1. Download Source Code

bash
git clone https://github.com/Zain-ul-din/WhatsApp-Ai-bot.git
cd WhatsApp-Ai-bot

Alternatively, you can download the zip file.

2. Acquire API Keys

• Gemini API Key
• OpenAI API Key
• StabilityAI API Key

3. Configure Your API Keys

Create a .env file in the root of your project and set the following fields:

OPENAI_API_KEY=YOUR_OPEN_AI_API_KEY
DREAMSTUDIO_API_KEY=YOUR_STABILITY_AI_API_KEY
GEMINI_API_KEY=YOUR_GEMINI_API_KEY
HF_TOKEN=HUGGING_FACE_TOKEN

4. Running the Code

To start your bot, run the following command:

bash
run setup.sh

Make sure to scan the QR code that appears!

Default Prefixes

Here are some useful commands to interact with your bot:

• !gemini to use the Gemini model
• !gemini-vision for image processing
• !chatgpt for Chat GPT interactions
• !dalle for image generation from text
• !stable to use Stability AI
• !flux for using Flux AI
• !bot to implement your custom model

Supported Models

Currently, our bot supports the following models:

Model	Provider	Type	Usage
Chat GPT	Open AI	text to text	!chatgpt
Gemini	Google	text to text	!gemini
Gemini Vision	Google	image to text	!gemini-vision
Dalle 2	Open AI	text to image	!dalle
Dalle 3	Open AI	text to image + revised text	!dalle3
FLUX.1-schne	Hugging Face	text to image	!flux

Troubleshooting Common Issues

While setting up your bot, you might face some issues. Here are some troubleshooting tips:

• Make sure all API keys are correctly inputted in the .env file.
• If the bot fails to start, check for dependencies that may not be installed.
• Ensure you’re running the correct version of Node.js for maximum compatibility.
• To avoid blocking, ensure your use of WhatsApp API is compliant with their terms.

For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

Conclusion

In this article, we’ve examined how to seamlessly transition to the @whiskeysocketsbaileys library for your WhatsApp AI Bot. This lightweight solution not only enhances the performance but also expands the potential for utilizing various AI models in a unified manner.

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.