| title: Talk2Book | |
| emoji: 📚 | |
| colorFrom: blue | |
| colorTo: blue | |
| sdk: streamlit | |
| sdk_version: 1.17.0 | |
| app_file: app.py | |
| pinned: false | |
| license: apache-2.0 | |
| fullWidth: true | |
| models: | |
| - hkunlp/instructor-large | |
| datasets: | |
| - calmgoose/book-embeddings | |
| tags: | |
| - Question Answering | |
| - LangChain | |
| - talk2book | |
| - Instructor Embeddings | |
| - faiss | |
| - LLM | |
| duplicated_from: calmgoose/Talk2Book | |
| # Talk2Book 📖 | |
| Using large language models to talk to the book '1984'. Based on the notebooks in [Talk2Book](https://github.com/batmanscode/Talk2Book). | |
| *Update: added 'The Almanac of Naval Ravikant'* |