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Many people have dreamed of creating their own AI-powered virtual companion, and in this guide I will take you step-by-step through the process of building a virtual girlfriend (or boyfriend) using machine learning models. This project includes text generation, voice interaction, visual representation and even simulated movements. Whether you’re interested in companionship or exploring AI possibilities, this guide has what you’re looking for.
How to make your own AI girlfriend?
1: Set up speaking functionality
- Get an OpenAI key by following the tutorial in the article.
- Use the OpenAI API to generate text using the davinci-3 model.
- Set up a few-step learning approach to train the model how to respond appropriately.
- Check that the model is working by interacting with it using prompts.
2: Explore GPT alternatives
- Consider using an alternative model, such as one from HuggingFace, as a cost-effective and functional alternative to GPT-3.
- Refine the alternate model on specific data to make it more suitable for generating conversational responses.
- Implement the alternative model and ensure that it meets the desired characteristics.
3: Implement memory system
- Address the problem of memory usage in large language models by implementing a three-step system for summarizing text and maintaining a conversation history.
- Use a Hugging Face model to effectively summarize conversation history.
- Save and load the memory system to allow continuity in previous conversations.
4: Enable voice interaction
- Integrate Text-to-Speech (TTS) and Speech-to-Text (STT) models to facilitate audio interaction between the user and the AI friend.
- Adjust the response function to process the audio output more effectively by cleaning up the generated sequence.
5: Generating an AI image of a girlfriend
- Use a Hugging Face diffusion model to generate an image of the AI girlfriend.
- If desired, adjust or remove the filter applied to the model based on your preference.
6: Add movement to the image
- Discover VTuber software to add motion to a still image.
- Find a suitable open source solution for animating the image.
- Implement the chosen solution, make the image flash and convey motion.
7: Real-time animation
- Consider options for generating real-time animations, such as pre-generating frames or generating frames on-the-fly.
- Implement a solution using Exponentiated Weighted Moving Average (EWMA) to estimate frame generation times.
- Modify the code to update EWMA and use it for real-time animation.
8: Timing of mouth movement
- Implement a system to synchronize mouth movement with audio playback.
- Use word-level timestamps from a model to determine when to open and close the mouth during audio playback.
- Run multiple functions in parallel to handle image updates, blinking and mouth movements simultaneously.
9: Continuous event loop
- Create an event loop that runs indefinitely, continuously updating the image and handling various actions such as blinking and mouth movements.
- Launch an interface to interact with the AI girlfriend, allowing users to start the animation and view real-time updates.
10: Enjoying the final result
- Test the entire system by having a conversation with the AI friend.
- Observe the interaction, including text generation, voice interaction and real-time animation.
Note: Make sure to follow the specific code snippets and instructions in the article for each step. For additional details and implementation, reference can be made to the full repository and Colab notebook mentioned in the article.
Alternatives to create your own AI girlfriend
To create your own AI girlfriend using chatbots, consider the following options:
- Replica AI: This chatbot allows you to create a virtual companion with whom you can have meaningful conversations. You can customize the appearance and personality of your AI friend and participate in different activities such as games and quizzes.
- ChatGPT Custom GPTs: Using modified versions of the GPT model, you can create a personalized AI girlfriend. However, this may require some expertise in working with GPT models1.
- Mua AI: This platform offers a more intimate experience, allowing you to create a virtual girlfriend with chosen physical and personal attributes. The AI technology used ensures human-like conversations1.
- Open source chatbot platforms: You can use open source platforms like Botpress, Microsoft Bot Framework, Botkit, Rasa and Wit.ai to build your chatbot. These platforms offer various tools and capabilities to create an advanced AI girlfriend.
- GirlfriendGPT: This is a Python project available on GitHub that allows you to build your own AI girlfriend using ChatGPT4.0. It includes features such as a custom voice, personality customization and the ability to generate selfies.
- Bot Libre: An open-source chatbot platform that allows you to create a bot for various platforms including web, mobile, and social media. You can connect your bot to multiple services and customize them to your liking.
- AI Girlfriend on miniapps.ai: This chatbot presents itself as a sweet and caring virtual girlfriend, ready to strike up a conversation and provide companionship.
Remember that creating an AI friend involves not only technical skills, but also ethical considerations. It is important to create interactions that are respectful and do not perpetuate harmful stereotypes or behaviors.
Create your own AI girlfriend
1. Setup:
- Define the goals for your virtual companion.
- Make sure the project is cost-effective and compatible with your GPU capabilities.
- Specify the features you want, such as conversation, memory, voice interaction, and visual display.
2. Text Generation:
- Use the OpenAI API with models like davinci-3 for text generation.
- Use a single-step learning approach to train the model in specific conversation styles.
- Use the GPT model to make your virtual companion respond naturally.
3. GPT Alternative:
- Discover alternatives like HuggingFace for text generation.
- Tailor a pre-trained model to conversation needs.
- Use the model to generate responses in a cost-effective way.
4. Memory Management:
- Address the memory limitations of language models.
- Implement a three-step memory system to summarize previous clues.
- Save and load memory sections to continue conversations seamlessly.
5. Voice Interaction:
- Integrate Text-to-Speech (TTS) and Speech-to-Text (STT) models for back-and-forth audio communications.
- Clean up model output for more accurate answers.
6. Visual representation:
- Generate an image of your virtual companion using diffusion models.
- Use the Hugging Face API to create images.
- Adjust the visual display based on prompts.
7. Real-time Animations:
- Implement a VTuber software approach for simulated movements.
- Use a repository like “talking-head-anime-demo” for real-time image manipulation.
- Add eye movements and blinks to add life to the virtual companion.
8. Generate real-time animations:
- Choose between pre-generating frames or generating them in real time.
- Use Exponentiated Weighted Moving Average (EWMA) for consistent frame generation.
- Integrate blink cycles and mouth movement synchronization for a realistic experience.
9. Full Output:
- Provide a complete example of a conversation between the user and the virtual companion.
- Share the GitHub repository and Colab notebook for the full implementation.
Conclusion
Creating your own virtual girlfriend or boyfriend is not just a dream; it is a feasible project with the right tools and techniques. This guide will help you explore the realms of AI companionship, combining text, voice, and visual elements for a comprehensive virtual experience. Feel free to experiment, customize and improve your virtual companion based on your preferences and creativity. Let the AI companionship journey begin!