feat: update generator labels and enhance detection response structure

frontend/lib/constants.ts

@@ -13,14 +13,14 @@ export const VIDEO_FORMAT_LABEL = 'MP4 - MOV - AVI - MAX 500MB'
 
 export const GENERATOR_LABELS: Record<GeneratorLabel, string> = {
   real: 'Real',
-  unknown_gan: 'Unknown GAN',
-  stable_diffusion: 'Stable Diffusion',
-  midjourney: 'Midjourney',
-  dall_e: 'DALL-E',
-  flux: 'FLUX',
-  firefly: 'Adobe Firefly',
-  imagen: 'Google Imagen',
   sora: 'OpenAI Sora',
+  runway: 'Runway Gen-2',
+  wav2lip: 'Wav2Lip',
+  stable_diffusion: 'Stable Diffusion v1.5',
+  sdxl: 'Stable Diffusion XL',
+  midjourney: 'Midjourney',
+  dall_e: 'DALL-E 3',
+  unknown_generative: 'Unknown Generative',
 }
 
 export const ENGINE_LABELS: Record<string, string> = {

frontend/types/detection.ts

@@ -5,14 +5,14 @@ export type Verdict = 'FAKE' | 'REAL' | 'UNKNOWN'
 
 export type GeneratorLabel =
   | 'real'
-  | 'unknown_gan'
+  | 'sora'
+  | 'runway'
+  | 'wav2lip'
   | 'stable_diffusion'
+  | 'sdxl'
   | 'midjourney'
   | 'dall_e'
-  | 'flux'
-  | 'firefly'
-  | 'imagen'
-  | 'sora'
+  | 'unknown_generative'
 
 export interface EngineResult {
   engine: string
@@ -21,6 +21,8 @@ export interface EngineResult {
   attributed_generator?: GeneratorLabel | string | null
   explanation: string
   processing_time_ms: number
+  audio_sync_score?: number | null
+  timestamp_markers?: Array<Record<string, unknown>>
 }
 
 export interface DetectionResponse {
@@ -30,6 +32,9 @@ export interface DetectionResponse {
   explanation: string
   processing_time_ms: number
   engine_breakdown: EngineResult[]
+  novelty_score?: number | null
+  audio_sync_score?: number | null
+  timestamp_markers?: Array<Record<string, unknown>>
 }
 
 export type MediaType = 'image' | 'video'

src/engines/fingerprint/engine.py

@@ -321,7 +321,7 @@ class FingerprintEngine:
 
         avg_conf = float(np.mean([result.confidence for result in results]))
         generators = [result.attributed_generator for result in results if result.attributed_generator]
-        top_gen = max(set(generators), key=generators.count) if generators else "unknown_gan"
+        top_gen = max(set(generators), key=generators.count) if generators else "unknown_generative"
 
         return EngineResult(
             engine="fingerprint",

tests/test_fusion.py

@@ -73,15 +73,15 @@ def test_fuser_real_verdict_sets_generator_real():
 
 
 def test_types_generator_label_count():
-    assert len(GeneratorLabel) == 8
+    assert len(GeneratorLabel) == 9
 
 
 def test_types_generator_index_mapping():
     from src.types import GENERATOR_INDEX_TO_LABEL
     assert GENERATOR_INDEX_TO_LABEL[0] == GeneratorLabel.real
-    assert GENERATOR_INDEX_TO_LABEL[1] == GeneratorLabel.unknown_gan
-    assert GENERATOR_INDEX_TO_LABEL[2] == GeneratorLabel.stable_diffusion
-    assert GENERATOR_INDEX_TO_LABEL[7] == GeneratorLabel.imagen
+    assert GENERATOR_INDEX_TO_LABEL[1] == GeneratorLabel.sora
+    assert GENERATOR_INDEX_TO_LABEL[4] == GeneratorLabel.stable_diffusion
+    assert GENERATOR_INDEX_TO_LABEL[8] == GeneratorLabel.unknown_generative
 
 
 def test_engine_result_confidence_validator():