feat: Implement text-to-speech for articles#438
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wangweity wants to merge 5 commits intocooderl:mainfrom
Open
feat: Implement text-to-speech for articles#438wangweity wants to merge 5 commits intocooderl:mainfrom
wangweity wants to merge 5 commits intocooderl:mainfrom
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This feature adds text-to-speech (TTS) functionality to the application, allowing you to listen to WeChat Official Account articles.
Key changes include:
Frontend (apps/web):
- Added a new `ArticleViewer` component to display article content fetched from the backend.
- Integrated the Web Speech API for TTS capabilities.
- Implemented playback controls:
- Play, Pause, Resume functionality.
- Skip forward and skip backward (by a set number of words).
- Draggable progress bar to show and control speech playback position.
- Modified the article list to open the `ArticleViewer` in a modal.
- Added unit tests for the `ArticleViewer` component, covering rendering, content display, and TTS controls.
- Updated the tRPC client to use an environment variable (`VITE_API_URL`) for the backend URL, facilitating deployment.
- Added `VITE_API_URL` to `.env.local.example`.
Backend (apps/server):
- Added a new tRPC endpoint (`article.content`) to fetch raw HTML content for a given article ID.
- Modified `prisma/schema.prisma` to set the database provider to `postgresql` for compatibility with Render.com deployment.
Deployment:
- The changes are prepared for deployment on Render.com, with the frontend as a static site and the backend as a Dockerized web service using PostgreSQL.
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This feature adds text-to-speech (TTS) functionality to the application, allowing you to listen to WeChat Official Account articles.
Key changes include:
Frontend (apps/web):
ArticleViewercomponent to display article content fetched from the backend.ArticleViewerin a modal.ArticleViewercomponent, covering rendering, content display, and TTS controls.VITE_API_URL) for the backend URL, facilitating deployment.VITE_API_URLto.env.local.example.Backend (apps/server):
article.content) to fetch raw HTML content for a given article ID.prisma/schema.prismato set the database provider topostgresqlfor compatibility with Render.com deployment.Deployment: