README
@yaxhpal
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These are MCP servers which I have implemented. Feel free to utilize them if you need.
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Overview
What is Conversive AI?
Conversive AI is a project that provides core Gen AI services to the Conversive framework. It is designed for developers using the Conversive framework.
How to use Conversive AI?
Clone the repository, create a virtual environment, install dependencies from requirements.txt, configure environment variables in a .env file, set Flask app and environment variables, then run flask run. Access the application at http://127.0.0.1:5000.
Key features of Conversive AI
- Provides core generative AI services
- Integrates with the Conversive framework
- Uses Flask as the web application framework
- Python 3.9 virtual environment required
- Configuration via
.envfile - Supports testing environment via
ENV="TEST"
Use cases of Conversive AI
- Building Gen AI functionality within the Conversive framework
- Running a local Flask server for AI service development
FAQ from Conversive AI
What dependencies are required?
All required packages are listed in requirements.txt and must be installed via pip.
What is the runtime environment?
The application runs on Python 3.9 with a Flask server, accessed locally at port 5000.
Where is configuration stored?
Environment variables are modified in the .env file before running the application.
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Frequently asked questions
What dependencies are required?
All required packages are listed in `requirements.txt` and must be installed via pip.
What is the runtime environment?
The application runs on Python 3.9 with a Flask server, accessed locally at port 5000.
Where is configuration stored?
Environment variables are modified in the `.env` file before running the application. — — —
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