Structured Output Assurance Program
CodeGenInterface provides the following resolution mechanism:
- grammar checking layer: automatically add programming language markup (e.g. indentation for Python)
- code segmentation: Split the output by function block and add comment headers
- exception capture: Retries and warnings for invalid code generation
Implementation steps
- Select the model that supports code generation: code_gen = CodeGenInterface(provider='openai', model='gpt-4-turbo')
- Specifying the output format: outputs="code" triggers syntax highlighting and formatting.
- Add language parameter (e.g. language='python') to enhance language specificity
strengthened proposal
1) Integrate code review module for static checking
2) Add unit test generation function
3) Combine with BrowserAutomationInterface to automate validation of generated code.
This answer comes from the articleai-gradio: Easily Integrate Multiple AI Models and Build Multimodal Applications Based on GradioThe
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