e32f433c79
- Added robust language detection system that analyzes URL domains, content keywords, and special characters - Supports automatic detection of English, Italian, Spanish, French, and German - Generates podcast conversations in the same language as the website content - Enhanced AI prompts with strong language-specific instructions - Added comprehensive debug logging for language detection accuracy - Improved detection thresholds to prevent false positives The system now automatically detects the language of scraped website content and generates podcast conversations in that language, ensuring localization and improved user experience. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
This is a Next.js project bootstrapped with create-next-app.
Getting Started
First, run the development server:
npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun dev
Open http://localhost:3000 with your browser to see the result.
You can start editing the page by modifying app/page.tsx. The page auto-updates as you edit the file.
This project uses next/font to automatically optimize and load Geist, a new font family for Vercel.
Learn More
To learn more about Next.js, take a look at the following resources:
- Next.js Documentation - learn about Next.js features and API.
- Learn Next.js - an interactive Next.js tutorial.
You can check out the Next.js GitHub repository - your feedback and contributions are welcome!
Deploy on Vercel
The easiest way to deploy your Next.js app is to use the Vercel Platform from the creators of Next.js.
Check out our Next.js deployment documentation for more details.