PROGRAMMING GPT4o (aka GPT 4 OMNI) IN YOUR BROWSER

This Python script showcases the utilization of the brand-new GPT4o model from OpenAI, which is relatively inexpensive and delivers very fast results with good quality. The script demonstrates various techniques for interacting with the OpenAI API and generating responses to different prompts. First, the script starts by installing the necessary Python packages, langchain-core and langchain-openai, which are used to interact with the OpenAI API. This ensures that the script has access to the required libraries and functions. Next, the script sets the OPENAI_API_KEY environment variable using the value obtained from userdata.get(‚OPENAI_API_KEY‘). This allows the script to authenticate with the OpenAI API, which is essential for using the API’s services. The script then imports the necessary classes and functions from the langchain-core and langchain-openai libraries, including HumanMessage, SystemMessage, and ChatOpenAI. These are the building blocks that the script will use to interact with the OpenAI model. An instance of the ChatOpenAI class is created, which uses the gpt-4o model for the conversational interaction. This sets up the foundation for the script to start sending questions and receiving responses from the model. The script then demonstrates two examples of sending questions to the model. First, it asks „who is Alex Hormozi?“ and displays the response. Then, it asks „who was Frank Sinatra?“ and prints the response character by character as it is generated. This gives you a glimpse of how the script can interact with the OpenAI model and retrieve information. After that, the script introduces the concept of a „Chain,“ which is a way to combine a prompt template with the ChatOpenAI model. A ChatPromptTemplate is created, and a chain is defined that combines the prompt template with the ChatOpenAI model. This chain is then used to generate a response to the question „Write a poem for GPT4 Omni.“ The script also defines a generate() function, which takes an input text, an optional system prompt, and a maximum length for the response. This function can be used to send custom prompts to the ChatOpenAI model and display the generated text. Finally, the script enters a loop where the user can input a topic, and the generate() function is called with the user’s input, the system prompt „Always answer in English“ and a maximum length of 2024 tokens. This allows the user to interact with the script and receive responses from the OpenAI model in real-time. This script demonstrates the versatility of the OpenAI GPT4o model and the langchain-core and langchain-openai libraries, allowing users to easily integrate the model into their own applications and generate high-quality responses to a wide range of questions and prompts.