| """Public Hugging Face UI backed by the actual NVIQ v0.2 engine.""" |
| import tempfile |
| from pathlib import Path |
|
|
| import gradio as gr |
|
|
| from nviq.errors import NVIQError |
| from nviq.space_service import audit_files, score_files |
|
|
|
|
| def _needed(*files): |
| if any(not path for path in files): |
| raise gr.Error("Upload every required JSON file before running NVIQ.") |
|
|
|
|
| def _score(case_file, observations_file): |
| _needed(case_file, observations_file) |
| output_dir = Path(tempfile.mkdtemp(prefix="nviq-score-")) |
| try: |
| result = score_files( |
| Path(case_file), Path(observations_file), output_dir |
| ) |
| except (NVIQError, OSError, ValueError, KeyError, TypeError) as exc: |
| raise gr.Error(f"NVIQ rejected the supplied data: {exc}") from exc |
| return result["summary"], result["report"], str(result["paths"]["json"]) |
|
|
|
|
| def _audit(case_file, evidence_file, manifest_file): |
| _needed(case_file, evidence_file, manifest_file) |
| output_dir = Path(tempfile.mkdtemp(prefix="nviq-audit-")) |
| try: |
| result = audit_files( |
| Path(case_file), |
| Path(evidence_file), |
| Path(manifest_file), |
| output_dir, |
| ) |
| except (NVIQError, OSError, ValueError, KeyError, TypeError) as exc: |
| raise gr.Error(f"NVIQ rejected the supplied data: {exc}") from exc |
| paths = result["paths"] |
| downloads = [ |
| str(paths[key]) |
| for key in ("json", "html", "snapshot", "derived_observations", "evidence_summary") |
| ] |
| return result["summary"], downloads |
|
|
|
|
| with gr.Blocks(title="NVIQ Open | Noct-Tech") as demo: |
| gr.Markdown( |
| """ |
| # NVIQ Open |
| ### Noct-Tech · Voice Intelligence Quotient |
| |
| **Real benchmark scoring and evidence-driven audits**, powered by the |
| [NVIQ open-source engine](https://github.com/joeking6989/NVIQ-open). |
| |
| Upload your own valid NVIQ JSON input files. NVIQ does not create provider |
| measurements or invent observations. **This Space does not call live providers.** |
| |
| **Public-service privacy:** Never upload credentials, private customer |
| recordings or transcripts, regulated personal information or confidential data. |
| """ |
| ) |
| with gr.Tab("Benchmark observations"): |
| gr.Markdown( |
| "Score existing observations using NVIQ v0.2. " |
| "You need a test-case JSON array and an observations JSON array." |
| ) |
| with gr.Row(): |
| score_cases = gr.File( |
| label="NVIQ test cases (.json)", file_types=[".json"], type="filepath" |
| ) |
| score_observations = gr.File( |
| label="Recorded observations (.json)", |
| file_types=[".json"], |
| type="filepath", |
| ) |
| score_button = gr.Button("Run NVIQ benchmark", variant="primary") |
| score_summary = gr.JSON(label="Benchmark summary") |
| score_report = gr.JSON(label="Full benchmark result") |
| score_download = gr.File(label="Download benchmark report (.json)") |
| score_button.click( |
| _score, |
| inputs=[score_cases, score_observations], |
| outputs=[score_summary, score_report, score_download], |
| ) |
|
|
| with gr.Tab("Evidence-driven audit"): |
| gr.Markdown( |
| "Run the NVIQ v0.1 execution/audit path against supplied " |
| "provider-neutral evidence. Upload the matching cases, evidence and " |
| "manifest. The uploaded cases are used directly; the manifest's " |
| "case_set field is never treated as a server-side file path." |
| ) |
| audit_cases = gr.File( |
| label="NVIQ test cases (.json)", file_types=[".json"], type="filepath" |
| ) |
| audit_evidence = gr.File( |
| label="Evidence Bundle (.json)", file_types=[".json"], type="filepath" |
| ) |
| audit_manifest = gr.File( |
| label="Audit manifest (.json)", file_types=[".json"], type="filepath" |
| ) |
| audit_button = gr.Button("Execute NVIQ audit", variant="primary") |
| audit_summary = gr.JSON(label="Audit summary and coverage") |
| audit_downloads = gr.File( |
| label="Download audit artifacts (JSON / HTML)", file_count="multiple" |
| ) |
| audit_button.click( |
| _audit, |
| inputs=[audit_cases, audit_evidence, audit_manifest], |
| outputs=[audit_summary, audit_downloads], |
| ) |
|
|
| gr.Markdown( |
| "[NVIQ source and input formats](https://github.com/joeking6989/NVIQ-open) " |
| "· [Noct-Tech](https://noct-tech.com.au)" |
| ) |
|
|
|
|
| if __name__ == "__main__": |
| demo.queue(default_concurrency_limit=2, max_size=8).launch( |
| max_file_size="5mb", |
| show_error=False, |
| ) |
|
|
