Background to the issue
Multimodal models often require complex API integration, and the Aana SDK addresses this pain point by automating API generation.
Implementation steps
- Endpoint Definition:: 使用@app.aana_endpoint装饰器声明功能接口
- type safety: Built-in VideoInput and other data types for automatic input validation
- Document Generation: Access the /docs path to automatically get the Swagger UI documentation
- asynchronous support: Using async/await to handle time-consuming operations
Advanced Techniques
- Streaming API: Setting streaming=True for real-time output
- Combined endpoints: merge multiple model outputs (e.g. video transcription + image description)
- Version Control: Manage different API versions through AanaSDK(name) parameter.
error handling
Input validation and error response templates are included by default, and detailed logs can be viewed via the -log-level DEBUG
This answer comes from the articleAana SDK: An Open Source Tool for Easy Deployment of Multimodal AI ModelsThe
May not be reproduced without permission:AI productivity tools " How to solve API integration challenges in multimodal AI model deployment?
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