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| title: YouTube to LinkedIn Post Converter | |
| emoji: 🎥 | |
| colorFrom: blue | |
| colorTo: green | |
| sdk: gradio | |
| sdk_version: 5.29.0 | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| # YouTube to LinkedIn Post Converter | |
| This application converts YouTube video content into professional LinkedIn posts using AI-powered content enhancement and RAGAS evaluation metrics. | |
| ## Features | |
| - 🎥 YouTube transcript extraction | |
| - ✨ AI-powered content enhancement | |
| - 📊 RAGAS evaluation metrics | |
| - 🔄 Automatic content verification | |
| - 📱 Professional LinkedIn post formatting | |
| ## Models | |
| The application uses three embedding models for comparison: | |
| - OpenAI's text-embedding-3-small | |
| - Base MPNet (sentence-transformers/all-mpnet-base-v2) | |
| - Fine-tuned MPNet (Shipmaster1/finetuned_mpnet_matryoshka_mnr) | |
| ## Evaluation Metrics | |
| - Faithfulness: How well answers align with context | |
| - Answer Relevancy: How relevant answers are to questions | |
| - Context Recall: How well context covers required information | |
| - Context Precision: How focused and precise the context is | |
| ## Usage | |
| 1. Enter a YouTube URL | |
| 2. Wait for transcript extraction | |
| 3. Review enhanced content | |
| 4. Get your professional LinkedIn post | |
| ## Installation | |
| ```bash | |
| pip install -r requirements.txt | |
| python app.py | |
| ``` | |
| ## License | |
| MIT License |