Deploy your private Gemini application for free with one click, supporting Gemini 1.5 Pro, Gemini 1.5 Flash, Gemini Pro, and Gemini Pro Vision models.

Features

• Free one-click deployment on Vercel in under 1 minute
• Lightweight (~4MB) cross-platform client (Windows, MacOS, Linux) enhances office efficiency
• Supports multi-modal models understanding images, videos, audios, and text
• Talk mode for direct interaction
• Visual recognition aids in understanding image content
• Comprehensive Markdown support
• Password-protected access and privacy controls
• Responsive UI with dark mode support
• Extremely fast loading and streaming responses
• Multi-language support: English, Español, Deutsch, Français, Português, Русский, and العربية

Get Started

Follow these simple steps to deploy your Talk With Gemini application:

1. Get your Gemini API Key.
2. Click to Deploy with Vercel.
3. Start using your private Gemini application!

Deployment Options

There are various ways to deploy your Gemini application; here, I’ll explain the Docker method using an analogy:

Imagine you’re assembling a complicated model airplane. The Docker container is like a neatly organized toolbox that contains all the pieces you need. Instead of rummaging through your garage for the right screws or glue, everything is ready to go at your fingertips. With Docker, you’re pulling the latest version of your application from the repository, ensuring that you’re always working with the most up-to-date model!

Docker Deployment Steps:

1. Ensure you have Docker version 20 or above.
2. Run the following commands to pull and deploy your container:

docker pull xiangfatalk-with-gemini:latest
docker run -d --name talk-with-gemini -p 5481:3000 xiangfatalk-with-gemini
    

3. Add any necessary environment variables, like this:

docker run -d --name talk-with-gemini \
    -p 5481:3000 \
    -e GEMINI_API_KEY=your_api_key \
    -e ACCESS_PASSWORD=your_password \
    xiangfatalk-with-gemini
    

Troubleshooting

Here are some common issues you may encounter while deploying Talk With Gemini:

• Deployment fails on Vercel. Check if your environment variables are correctly set and ensure you have added an ACCESS_PASSWORD.
• Cannot upload files. Certain file types may not be supported. Refer to the Support List for more details.
• Performance issues in loading. Make sure your Docker version is updated, as an outdated version might affect performance.

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

Updating Code

If you wish to keep your application updated, it’s essential to regularly check the GitHub documentation on synchronizing your project with upstream code.

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.

Additional Resources

• If you need more help, please refer to the open issues.
• To stay updated on the latest features and improvements, consider following our project on GitHub.