While conditional generation models can now generate natural language well enough to create fluent text, it is still difficult to control the generation process, leading to irrelevant, repetitive, and hallucinated content. Recent work shows that planning can be a useful intermediate step to render conditional generation less opaque and more grounded. We present a web browser-based demonstration for query-focused summarization that uses a sequence of question-answer pairs, as a blueprint plan for guiding text generation (i.e., what to say and in what order). We illustrate how users may interact with the generated text and associated plan visualizations, e.g., by editing and modifying the blueprint in order to improve or control the generated output. A short video demonstrating our system is available at https://goo.gle/text-blueprint-demo.

通过问题-答案对的序列作为引导文本生成的蓝图计划，将计划作为中介步骤，可以更好地控制条件生成模型的生成过程。我们提出了一种基于Web浏览器的演示，用于查询聚焦摘要，演示用户如何与生成的文本交互并使用基于蓝图的计划可视化来控制生成的输出。

Text-Blueprint: 基于计划的条件生成的交互平台