Welcome to the future of conversations with AI! Anse is a fully optimized user interface designed for AI chats, featuring a wealth of robust functionalities and a seamless user experience. This blog post will guide you through the steps to set up and deploy the Anse application while also providing troubleshooting tips along the way.

Features of Anse

• Powerful Plugin System – Easily extend AI platforms like OpenAI and Replicate.
• Session Record Saving – Your local data is stored securely using IndexDB.
• Multiple Session Modes – Engage in various chat modes, including single conversations and image generation.
• Improved UI Experience – A refined UI that adapts to mobile and dark modes.
• One-Click Deployment – Easily deploy the application on platforms like Vercel and Netlify.

Running Anse Locally

Before you dive into deploying Anse, you’ll need to set up your development environment with a few tools:

Pre-requisites

1. Node: Ensure you’re running Node v18 or later. Use NVM to manage node versions.
2. PNPM: Install pnpm to manage your dependencies. You can install it via the command:

npm i -g pnpm

3. OPENAI_API_KEY: Obtain your OpenAI API key from OpenAI.

Getting Started

1. Install dependencies by running:

pnpm install

2. Launch the application with:

pnpm run dev

3. Now, add your OpenAI API key in the settings panel and start enjoying!

How to Deploy Anse

For detailed deployment instructions, refer to the official documentation.

Enabling Automatic Updates

After forking the project, enable Workflows and Upstream Sync Action on the Actions page of your forked project. This ensures that you receive automatic updates every day.

Troubleshooting Common Issues

While setting up Anse, you might encounter some common issues:

• TypeError: fetch failed (can’t connect to OpenAI API) – Refer to the discussion on GitHub for help.
• TypeError: $context is not a ReadableStream – Ensure you are using Node v18 or later. More details can be found at the GitHub issue page.
• Need for proxy deployment to access faster? – Follow the tutorial mentioned here.

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

In Conclusion

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.