Provide alternate/ recommendations that are not racially biased

### Background on the problem the feature will solve/improved user experience
People who use TakeTwo might not only want to detect racially biased content but receive help on how to debias their content.

### Describe the solution you'd like
A solution that uses ML models, updated the API and updates the UI to provide the user with terms that are alternatives to the detected racially biased content

Related to : https://github.com/Call-for-Code-for-Racial-Justice/TakeTwo-DataScience/issues/20

### Tasks
- update ML models
- update API output
- update any UIDescription of the development tasks needed to complete this issue, including tests,

### Acceptance Criteria
Standards we believe this issue must reach to be considered complete and ready for a pull request. E.g precisely all the user should be able to do with this update, performance requirements, security requirements, etc as appropriate.

- As a user, if content I've input for analysis is found to be biased, I receive accurate alternatives that are unbiased to replace them with

首先检查 issue 中引用的现有 ML 模型、API 输出和 UI，以及相关 issue。确定当前如何检测有偏见的内容，以及可以在哪里返回和显示替代术语。完成的标准是：系统为检测到的有偏见内容提供准确且无偏见的替代方案，并且测试覆盖模型、API 和 UI 的更改。

由索引模型根据 Issue 内容生成。