SummarizeSafe is a hallucination detection system that uses Ollama's LLM to analyze the accuracy of text summaries. It features a user-friendly interface built with Streamlit, supported by a FastAPI backend, and provides accurate detection of fabricated content in text summaries.
active 2024-10-17 → 2024-10-17 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2024-10-17 to 2024-10-17. Pushes: 5 total, peak 5 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| kavinDEV15 | 5 | 5 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- ReleasekavinDEV152024-10-17 19:47v1.0.0 - Initial Release
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.