Seamless AI integration for Doppar Framework

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pkg:composer/doppar/ai

v1.0.0-beta.1 2025-11-20 07:48 UTC

This package is auto-updated.

Last update: 2025-11-20 11:36:57 UTC


README

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Doppar AI

Doppar AI is a powerful component that brings advanced artificial intelligence capabilities to your PHP applications. It provides two main components: Pipeline for running transformer-based machine learning tasks locally, and Agent for interacting with cloud-based large language models (LLMs) like OpenAI and Gemini. Whether you need sentiment analysis, text generation, image classification, or conversational AI, Doppar AI makes it simple and accessible.

Documentation

Read the documentation from doppar official site Doppar AI

Features

Doppar AI is designed to be versatile, easy to use, and powerful. It brings modern AI capabilities directly to your PHP applications without the complexity of traditional machine learning implementations.

  • 15+ Transformer Tasks - Sentiment analysis, text generation, translation, QA, and more
  • Multiple LLM Support - OpenAI, Google Gemini, and self-hosted models
  • Local Model Execution - Run models on your server without external API calls
  • Fluent Agent API - Build conversational AI with ease
  • Image Processing - Classification, object detection, captioning
  • Zero-Shot Learning - Classify without training data
  • Quantized Models - Optimize performance and memory usage
  • Custom Model Support - Use any HuggingFace model
  • Query Helper - Ask questions about structured data
  • Framework Integration - Seamless integration with Doppar framework

Contributing

Thank you for considering contributing to the Doppar framework! The contribution guide can be found in the Doppar documentation.

Code of Conduct

In order to ensure that the Doppar community is welcoming to all, please review and abide by the Code of Conduct.

Security Vulnerabilities

Please review our security policy on how to report security vulnerabilities.

License

The Doppar framework is open-sourced software licensed under the MIT license.