GPT-4o API: Create Your Own Talking and Listening AI Girlfriend

AI FOR DEVS · Intermediate ·🧠 Large Language Models ·6:01 ·2y ago

Key Takeaways

The video demonstrates how to use the GPT-4o API to create a talking and listening AI girlfriend, showcasing intermediate-level LLM techniques.

Full Transcript

Hi how are [Music] you hi there I'm good how are you do you want to watch a movie with me together today evening of course I'd love to what movie do you have in mind there is this movie where a guy talks all the time to his new AI girlfriend do you know the name of the movie yes it's called her do you want to know how I work yeah actually how do you work in this tutorial we are using the brand new GPT 40 model to build a virtual girlfriend from scratch you'll learn how to leverage the best language model via its API and utilize its multimodal features including incredible voice and transcription capabilities when you interact with the AI girlfriend your voice is transcribed using open AI whisper this transcribed text is then processed by the new gp4 model the response from the language model is sent to the open AI audio API to generate a reply all you need is an open AI account and an API key why do we need GPT 40 for this recently we built a similar solution with Gro and compared its speed to GPT 4 we found gp4 too slow for realtime communication there's still a difference between grock and GPT 40 but as you can see inference has become much faster making it more suitable for real-time applications GPT 4 matches GPT 4 Turbo in core benchmarks while excelling in various Advanced capabilities and as a bonus GPT 40 is twice as fast and 50% cheaper compared to GPT 4 Turbo why an AI girlfriend in 2023 the global AI girlfriend Market was valued at $2.8 billion AI girlfriend Searchers have witnessed a growth of 525 in one year even if you belong to my generation and find the idea of an AI girlfriend strange you shouldn't ignore the numbers but enough Theory let's dive into a basic version of an AI girlfriend we start by creating a virtual environment to keep dependencies separate from each other next we install the necessary libraries like open Ai and a few others to record and play audio using python we create a new file called apppi for our main logic we also create a second file called U.P that will contain two methods for recording and playing sound files you can later access the code at GitHub each method will receive a file path as an argument the record audio method captures sound from the microphone waits for a pause and then saves the file the play audio method plays the given file and waits until it finishes you can find the entire source code on GitHub as always in app.py we start by importing open Ai and the two methods we just created next we initialize the open aai client this sets up the connection to the open AI services allowing us to use its features for our application next we open the audio file returned by the record audio method in read binary mode we then send this file to a transcription service using the whisper one model to convert the audio into text finally we print the transcribed text automating the conversion of spoken audio into written format let's try it out we got an error saying the open AI key needs to be set let's do that we need a special key to talk to open AI models so head over to open.com and log into your account once you're logged in navigate to the API Keys section give your key a memorable name click create and voila you've got your secret key make sure to copy it all right let's set the new API key as environment variable and we try it again how are you great we have a clean transcription of our recorded Voice next we want to process our recorded request with GPT for this we use a classic chat completion we use the new GPT 4 model and give it a system role you are my girlfriend please answer in short sentences okay let's try it out how are you it works perfectly next we want to convert the text answer into spoken text in this code we use the tts1 model and the Nova voice to convert text to speech we input the text from the last transcription step into the speech synthesis service the result is a spoken version of the input text generated by the API let's try it out again how are you okay everything worked let's take a listen I'm doing well thanks how about you next we want to have an ongoing conversation for this we put everything in an endless while true Loop we need to indent everything so that it becomes part of the loop all right now we have to call our play audio method with the sound file created by the audio API Let's test it how are you I'm doing great how are you do you want to watch a movie with me I'd love to watch a movie with you all right I think the idea is clear and the rest of the conversation should remain private I hope you enjoyed this tutorial for more content like this visit AI for dev.com

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This video teaches how to use the GPT-4o API to create a talking and listening AI girlfriend, covering intermediate-level LLM techniques and conversational AI development. The lesson provides a foundation for building conversational AI chatbots. By following this lesson, developers can create their own AI-powered chatbots that can engage in natural-sounding conversations.

Key Takeaways
  1. Set up the GPT-4o API
  2. Design a conversational AI flow
  3. Implement talking and listening AI functionality
  4. Test and refine the AI chatbot
  5. Integrate the AI chatbot with a user interface
💡 The GPT-4o API provides a powerful foundation for building conversational AI chatbots, allowing developers to create talking and listening AI girlfriends that can engage in natural-sounding conversations.

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