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Running on Zero
A newer version of the Gradio SDK is available: 6.10.0
metadata
title: VERIS Incident Classifier
emoji: 🔒
colorFrom: blue
colorTo: indigo
sdk: gradio
sdk_version: 6.8.0
python_version: '3.10'
app_file: app.py
pinned: false
hf_oauth: true
license: mit
short_description: AI-powered VERIS incident classification
models:
- vibesecurityguy/veris-classifier-v2
datasets:
- vibesecurityguy/veris-classifier-training
- vibesecurityguy/veris-incident-classifications
VERIS Incident Classifier
Classify incident descriptions into VERIS using a fine-tuned Mistral-7B model.
Key Features
- Incident classification to structured VERIS output
- Output toggle:
JSONorTable - Validation summary for enum/schema quality
- Table filters and CSV export
- VERIS Q&A mode
- Hugging Face login + session status for ZeroGPU quota routing
Runtime
- Hardware: ZeroGPU (
zero-a10g) - Auth: HF OAuth enabled (
hf_oauth: true) - Inference policy in Space: Hugging Face model only (no OpenAI key usage)
Links
- Live Space: https://huggingface.co/spaces/vibesecurityguy/veris-classifier
- Model: https://huggingface.co/vibesecurityguy/veris-classifier-v2
- Training dataset: https://huggingface.co/datasets/vibesecurityguy/veris-classifier-training
- Source code: https://github.com/petershamoon/veris-classifier
- VERIS framework: https://verisframework.org/