chatprompt 2.0.0

A Python package to interact with powerfull AI

# AI Interaction via Customizable Prompts This Python project allows users to interact with a powerful AI model in a personalized and efficient manner. By tailoring your inputs, you can receive highly relevant and accurate responses based on your unique context. ## Features - Personalized AI Responses: Adjust the AI’s responses based on your individual profile or preferences. With the ability to set a custom description, the AI can tailor its answers to be more relevant and precise. - Seamless Integration: Easily integrate the AI service into your Python projects with just a few simple functions. No need for complex setups or configurations. - Real-time Interaction: Send queries to the AI and receive prompt responses directly, making it ideal for a variety of use cases from casual conversations to technical questions. ## How It Works ### Key Functions - personalization(desc) This function allows you to set a custom description that will be used to personalize the AI’s response. By defining your preferences or introducing specific context, the AI can provide more tailored answers. Input: desc (string) — Your personal context or description. Output: None (sets a global variable that will be used in subsequent prompts). - prompt(message) This function sends your message to the AI and returns its response. If a description is set, it will be included to make the AI’s answer more relevant. Input: message (string) — The message you want to send to the AI. Output: (string) — The filtered and tailored response from the AI. ### Example Usage `python import chatbotlib chatbotlib.personalization("I am a software developer with a strong interest in artificial intelligence.") response = chatbotlib.prompt("What is your opinion on the future of AI in programming?") print(response) ` ## How It Benefits You - Customized Results: The ability to personalize the AI ensures that the responses you receive are tailored to your specific needs. Whether you’re a developer, student, or enthusiast, the AI will adjust its answers to match your context. - No Unnecessary Responses: By defining a personalized context, you avoid unnecessary or generic responses, making the conversation feel more natural and relevant. - Versatility: The system can be used for a wide range of applications, from personal inquiries to technical problem-solving, making it a versatile tool for anyone looking to interact with AI. ## Dependencies - requests: A simple HTTP library for sending requests to external services. - beautifulsoup4: A library for parsing and handling HTML responses efficiently. ## Getting Started 1. Install the dependencies: Use pip to install the necessary libraries. 2. Set a Personal Description: Customize your experience by providing a description of yourself or your preferences using the personalization() function. 3. Send a Message: Use the prompt() function to send your message to the AI and receive a response. ## Example Scenario Imagine you are working on a coding project and need quick, relevant advice. Instead of receiving generic responses, you provide a description of your project, and the AI will respond with insights tailored specifically to your needs, making your interactions with AI smarter and more productive. ## Troubleshooting - Error Handling: If the AI service fails to respond or returns unexpected results, ensure your internet connection is active and the service is available. Check the response codes and logs for detailed troubleshooting. - Response Quality: The quality of responses depends heavily on the context provided. The more detailed and specific your personalization, the more relevant the AI’s answers will be.