changed to ai-generated score

app/static/index.html

@@ -113,7 +113,7 @@
             </div>
 
             <div>
-              <div id="verdict-text" class="text-3xl sm:text-4xl font-extrabold leading-tight text-blue-600"></div>
+              <div id="verdict-text" class="text-3xl sm:text-4xl font-extrabold leading-tight"></div>
               <div id="advice-text" class="mt-3 text-lg sm:text-xl font-semibold text-gray-900"></div>
               <div id="frames-info" class="mt-4 text-sm text-gray-500"></div>
             </div>
@@ -159,25 +159,25 @@
         clear: "Clear",
         analyzing: "Analyzing...",
         analyzing_video: "Sampling frames and running the model...",
-        reliability_score: "Reliability score",
+        ai_score: "AI-generated score",
         how_calculated: "How is this calculated?",
-        reliability: "Reliability",
-        verdict_low_image: "This image is likely AI-generated,",
-        verdict_low_video: "This video is likely AI-generated,",
-        verdict_mid_image: "We're uncertain about this image,",
-        verdict_mid_video: "We're uncertain about this video,",
-        verdict_high_image: "This image is likely authentic,",
-        verdict_high_video: "This video is likely authentic,",
-        advice_low: "you should not share it with your network.",
-        advice_mid: "verify it from trusted sources before sharing.",
-        advice_high: "but always cross-check important content.",
+        ai_label: "AI-generated",
+        verdict_ai_image: "This image is likely AI-generated,",
+        verdict_ai_video: "This video is likely AI-generated,",
+        verdict_uncertain_image: "We're uncertain about this image,",
+        verdict_uncertain_video: "We're uncertain about this video,",
+        verdict_real_image: "This image is likely authentic,",
+        verdict_real_video: "This video is likely authentic,",
+        advice_ai: "you should not share it with your network.",
+        advice_uncertain: "verify it from trusted sources before sharing.",
+        advice_real: "but always cross-check important content.",
         analyze_another: "Analyze another file",
         error_generic: "Something went wrong. Please try again.",
         error_size: "File is too large.",
         error_type: "Unsupported file type.",
         frames_info: "Averaged over {n} frames.",
         how_calculated_title: "How the score is computed",
-        how_calculated_body: "We use a Swin Transformer V2 model fine-tuned to distinguish real photographs from AI-generated images. For videos, we sample 5 frames evenly across the duration and average the model's confidence. The reliability score is 1 minus the model's probability that the content is AI-generated.",
+        how_calculated_body: "We use a Swin Transformer V2 model fine-tuned to distinguish real photographs from AI-generated images. For videos, we sample 5 frames evenly across the duration and average the model's confidence. The score shown is the model's estimated probability that the content was generated by AI.",
         close: "Close",
         privacy_note: "Files are processed in memory and not stored.",
       },
@@ -190,25 +190,25 @@
         clear: "Effacer",
         analyzing: "Analyse en cours...",
         analyzing_video: "Échantillonnage des images et exécution du modèle...",
-        reliability_score: "Score de fiabilité",
+        ai_score: "Score d'IA générée",
         how_calculated: "Comment est-ce calculé ?",
-        reliability: "Fiabilité",
-        verdict_low_image: "Cette image est probablement générée par IA,",
-        verdict_low_video: "Cette vidéo est probablement générée par IA,",
-        verdict_mid_image: "Nous ne sommes pas certains pour cette image,",
-        verdict_mid_video: "Nous ne sommes pas certains pour cette vidéo,",
-        verdict_high_image: "Cette image est probablement authentique,",
-        verdict_high_video: "Cette vidéo est probablement authentique,",
-        advice_low: "vous ne devriez pas la partager avec votre réseau.",
-        advice_mid: "vérifiez auprès de sources fiables avant de partager.",
-        advice_high: "vérifiez tout de même les contenus importants.",
+        ai_label: "IA générée",
+        verdict_ai_image: "Cette image est probablement générée par IA,",
+        verdict_ai_video: "Cette vidéo est probablement générée par IA,",
+        verdict_uncertain_image: "Nous ne sommes pas certains pour cette image,",
+        verdict_uncertain_video: "Nous ne sommes pas certains pour cette vidéo,",
+        verdict_real_image: "Cette image est probablement authentique,",
+        verdict_real_video: "Cette vidéo est probablement authentique,",
+        advice_ai: "vous ne devriez pas la partager avec votre réseau.",
+        advice_uncertain: "vérifiez auprès de sources fiables avant de partager.",
+        advice_real: "vérifiez tout de même les contenus importants.",
         analyze_another: "Analyser un autre fichier",
         error_generic: "Une erreur est survenue. Veuillez réessayer.",
         error_size: "Le fichier est trop volumineux.",
         error_type: "Type de fichier non pris en charge.",
         frames_info: "Moyenne sur {n} images.",
         how_calculated_title: "Comment le score est calculé",
-        how_calculated_body: "Nous utilisons un modèle Swin Transformer V2 entraîné pour distinguer les vraies photographies des images générées par IA. Pour les vidéos, nous échantillonnons 5 images réparties uniformément sur la durée et faisons la moyenne de la confiance du modèle. Le score de fiabilité correspond à 1 moins la probabilité estimée que le contenu soit généré par IA.",
+        how_calculated_body: "Nous utilisons un modèle Swin Transformer V2 entraîné pour distinguer les vraies photographies des images générées par IA. Pour les vidéos, nous échantillonnons 5 images réparties uniformément sur la durée et faisons la moyenne de la confiance du modèle. Le score affiché correspond à la probabilité estimée que le contenu ait été généré par IA.",
         close: "Fermer",
         privacy_note: "Les fichiers sont traités en mémoire et ne sont pas conservés.",
       },
@@ -249,26 +249,26 @@
       applyI18n();
     }
 
-    function getVerdict(reliability, mediaType) {
+    function getVerdict(aiScore, mediaType) {
       const T = t();
-      if (reliability >= 0.70) {
+      if (aiScore >= 0.60) {
         return {
-          verdict: mediaType === "video" ? T.verdict_high_video : T.verdict_high_image,
-          advice: T.advice_high,
-          tone: "high",
+          verdict: mediaType === "video" ? T.verdict_ai_video : T.verdict_ai_image,
+          advice: T.advice_ai,
+          tone: "ai",
         };
       }
-      if (reliability >= 0.40) {
+      if (aiScore >= 0.30) {
         return {
-          verdict: mediaType === "video" ? T.verdict_mid_video : T.verdict_mid_image,
-          advice: T.advice_mid,
-          tone: "mid",
+          verdict: mediaType === "video" ? T.verdict_uncertain_video : T.verdict_uncertain_image,
+          advice: T.advice_uncertain,
+          tone: "uncertain",
         };
       }
       return {
-        verdict: mediaType === "video" ? T.verdict_low_video : T.verdict_low_image,
-        advice: T.advice_low,
-        tone: "low",
+        verdict: mediaType === "video" ? T.verdict_real_video : T.verdict_real_image,
+        advice: T.advice_real,
+        tone: "real",
       };
     }
 
@@ -335,18 +335,19 @@
 
     function renderResultText() {
       if (!state.result) return;
-      const r = state.result.reliability;
-      const v = getVerdict(r, state.result.media_type);
+      const score = state.result.p_fake;
+      const v = getVerdict(score, state.result.media_type);
       $("verdict-text").textContent = v.verdict;
       $("advice-text").textContent = v.advice;
-      $("reliability-pct").textContent = `${Math.round(r * 100)}%`;
-      const arc = $("arc-fg");
+      $("score-pct").textContent = `${Math.round(score * 100)}%`;
       const tones = {
-        high: "#16a34a",
-        mid: "#d97706",
-        low: "#1d4ed8",
+        ai: "#dc2626",
+        uncertain: "#d97706",
+        real: "#16a34a",
       };
-      arc.setAttribute("stroke", tones[v.tone]);
+      const color = tones[v.tone];
+      $("arc-fg").setAttribute("stroke", color);
+      $("verdict-text").style.color = color;
       if (state.result.media_type === "video") {
         $("frames-info").textContent = t().frames_info.replace("{n}", state.result.n_frames);
       } else {
@@ -354,14 +355,14 @@
       }
     }
 
-    function animateArc(reliability) {
+    function animateArc(fraction) {
       const arc = $("arc-fg");
       arc.style.transition = "none";
       arc.setAttribute("stroke-dashoffset", CIRCUMFERENCE);
       requestAnimationFrame(() => {
         requestAnimationFrame(() => {
           arc.style.transition = "";
-          const target = CIRCUMFERENCE * (1 - Math.max(0, Math.min(1, reliability)));
+          const target = CIRCUMFERENCE * (1 - Math.max(0, Math.min(1, fraction)));
           arc.setAttribute("stroke-dashoffset", target);
         });
       });
@@ -399,7 +400,7 @@
         state.result = await res.json();
         renderResultText();
         showCard("result-card");
-        animateArc(state.result.reliability);
+        animateArc(state.result.p_fake);
       } catch (e) {
         showError(e.message);
         showCard("upload-card");