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Readme
The Conversive AI project is a framework that provides core Gen AI services, aiming to support the Conversive platform. The project includes environment setup, dependency installation, configuration modification, and operation guides, as well as contribution specifications and contact information.
rating : 2 points
downloads : 10
What is Conversive AI?
Conversive AI is a service framework based on generative AI technology, specifically designed to enhance the intelligent interaction capabilities of conversation systems. It provides a series of core AI services that can be integrated into various conversation platforms.How to use Conversive AI?
Through simple installation steps and configuration, developers can quickly integrate Conversive AI into existing systems. The system provides clear API interfaces and documentation support.Applicable scenarios
Suitable for conversation scenarios that require natural language processing capabilities, such as intelligent customer service, virtual assistants, and automatic question - answering systems.Main features
Core AI servicesProvide basic generative AI capabilities, supporting natural language understanding and generation
Easy to integrateSimple installation and configuration process, facilitating rapid deployment
Environment isolationSupport virtual environment deployment to ensure system stability
Advantages and limitations
Advantages
Rapid deployment and integration
Based on a mature Python technology stack
Support environment isolation
Limitations
Requires a Python 3.9 environment
Depends on many third - party libraries
Currently only supports running in a local development environment
How to use
Clone the repository
Get the latest code from the Git repository
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Create a virtual environment
Create an independent Python runtime environment for the project
Install dependencies
Install all necessary Python packages
Configure environment variables
Modify the environment variable configuration in the.env file
Run the application
Start the Flask development server
Usage examples
Development environment setupHow to set up a local development environment and run the service
API integrationHow to integrate the service into an existing system
Frequently asked questions
Why is Python 3.9 required?
How to modify the service port?
Which operating systems are supported?
Related resources
Markdown tutorial
Learn Markdown syntax
Python virtual environment documentation
Official documentation for Python virtual environments
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