actualizaciones

README.md

@@ -27,7 +27,7 @@ El proyecto ha sido optimizado para reducir la complejidad de la infraestructura
     - **Custom AI Quizzes**: Generación de quices con contexto pedagógico y tipo de pregunta personalizable (opción múltiple, V/F, etc.).
     - **Course Deletion**: Funcionalidad de eliminación de cursos con verificación de permisos y limpieza en cascada.
     - **Gamified Activities**: Nuevos tipos de bloques interactivos para niños y jóvenes, incluyendo Juegos de Memoria y Puntos Calientes (Hotspots).
-    - **Auto Transcription**: Integración con Whisper para generación automática de transcripciones y evaluación precisa de voz.
+    - **AI Video Generation**: Generación automática de contenido de video a partir de guiones de lecciones o prompts personalizados, optimizada para ejecución local o remota (servidor t-800) mediante *Stable Video Diffusion*.
 - **Dynamic API Resolution**: Resolución inteligente de endpoints que permite el acceso desde cualquier dispositivo en la red local (WiFi) sin configuración manual.
 - **Responsive UI/UX**: Interfaces optimizadas para dispositivos móviles con menús adaptativos y escalado fluido de componentes.
 - **AI Teaching Assistant (RAG)**: Tutor inteligente dentro de cada lección que ayuda a los estudiantes utilizando el contexto de la lección actual y el historial del curso.
@@ -78,6 +78,7 @@ OpenCCB es altamente escalable. A continuación se detallan los requisitos recom
 - **IA Local**:
   - **Faster-Whisper**: Transcripción de audio a texto.
   - **Ollama**: Traducción inteligente (EN -> ES), resúmenes y generación de cuestionarios.
+  - **Stable Video Diffusion**: Motor de generación de video optimizado para CPU.
 - **i18n Infrastructure**: Sistema de traducción reactivo para soporte global.
 - **Document Management**: Motor de previsualización de documentos PDF nativo.
 
@@ -654,6 +655,7 @@ OpenCCB evoluciona constantemente. Estos son los pilares de nuestro desarrollo f
 - **Offline Sync**: Capacidad de descargar lecciones y sincronizar progreso al recuperar conexión.
 
 ### 🧠 Inteligencia Artificial Avanzada
+- **AI Video Generation (v1)**: ✅ Generación de clips a partir de prompts y guiones de lecciones.
 - **AI Proctoring**: Monitoreo basado en visión artificial para exámenes de alta integridad, 100% privado y local.
 - **Multimodal Tutoring**: El tutor de IA podrá analizar imágenes y videos subidos por el alumno para dar feedback.
 - **Automated Grading for Open Questions**: Evaluación masiva de ensayos y respuestas abiertas con rúbricas personalizadas.

install.sh

@@ -117,11 +117,14 @@ read -p "Ingrese la URL de Ollama Remoto [$DEFAULT_OLLAMA]: " REMOTE_OLLAMA_URL
 REMOTE_OLLAMA_URL=${REMOTE_OLLAMA_URL:-$DEFAULT_OLLAMA}
 read -p "Ingrese la URL de Whisper Remoto [$DEFAULT_WHISPER]: " REMOTE_WHISPER_URL
 REMOTE_WHISPER_URL=${REMOTE_WHISPER_URL:-$DEFAULT_WHISPER}
+read -p "Ingrese la URL del Video Bridge Remoto [http://t-800:8080]: " REMOTE_VIDEO_URL
+REMOTE_VIDEO_URL=${REMOTE_VIDEO_URL:-"http://t-800:8080"}
 read -p "Ingrese el nombre del Modelo (en el servidor remoto) [llama3.2:3b]: " LLM_MODEL
 LLM_MODEL=${LLM_MODEL:-llama3.2:3b}
 
 update_env "AI_PROVIDER" "local"
 update_env "LOCAL_LLM_MODEL" "$LLM_MODEL"
+update_env "LOCAL_VIDEO_BRIDGE_URL" "$REMOTE_VIDEO_URL"
 
 if [ "$ENV_CHOICE" == "dev" ]; then
     update_env "DEV_OLLAMA_URL" "$REMOTE_OLLAMA_URL"
@@ -213,7 +216,7 @@ if [ "$ADMIN_EXISTS" != "t" ]; then
     read -s -p "Contraseña del Administrador [password123]: " ADMIN_PASS
     ADMIN_PASS=${ADMIN_PASS:-password123}
     echo ""
-    ORG_NAME="Organización por Defecto"
+    ORG_NAME="Default Organization"
 fi
 
 echo ""

services/cms-service/migrations/20260116000010_update_fn_register_user.sql

@@ -12,7 +12,7 @@ DECLARE
     v_org_id UUID;
 BEGIN
     -- Find or create organization
-    IF p_org_name IS NULL OR p_org_name = '' OR p_org_name = 'Default Organization' THEN
+    IF p_org_name IS NULL OR p_org_name = '' OR p_org_name = 'Default Organization' OR p_org_name = 'Organización por Defecto' THEN
         v_org_id := '00000000-0000-0000-0000-000000000001';
     ELSE
         INSERT INTO organizations (name) 

services/cms-service/migrations/20260303000000_add_video_generation_status.sql

@@ -0,0 +1,3 @@
+-- Add video_generation_status and video_generation_error to lessons table
+ALTER TABLE lessons ADD COLUMN IF NOT EXISTS video_generation_status VARCHAR(20) DEFAULT 'idle';
+ALTER TABLE lessons ADD COLUMN IF NOT EXISTS video_generation_error TEXT;

services/cms-service/scripts/requirements.txt

@@ -0,0 +1,9 @@
+fastapi
+uvicorn
+torch
+diffusers
+transformers
+accelerate
+pillow
+imageio-ffmpeg
+pydantic

services/cms-service/scripts/video_bridge.py

@@ -0,0 +1,88 @@
+import os
+import time
+from fastapi import FastAPI, HTTPException
+from pydantic import BaseModel
+import torch
+from diffusers import StableDiffusionPipeline
+from PIL import Image
+import uuid
+
+app = FastAPI()
+
+# Configuration
+MODEL_ID = "runwayml/stable-diffusion-v1-5"
+BASE_DIR = os.path.dirname(os.path.abspath(__file__))
+OUTPUT_DIR = os.path.join(BASE_DIR, "outputs")
+os.makedirs(OUTPUT_DIR, exist_ok=True)
+
+# Global variables for the model
+pipe = None
+
+def load_model():
+    global pipe
+    print("Loading Stable Diffusion model on CPU...")
+    pipe = StableDiffusionPipeline.from_pretrained(
+        MODEL_ID, 
+        torch_dtype=torch.float32,
+    )
+    pipe.to("cpu")
+    # pipe.enable_model_cpu_offload() 
+    pipe.enable_attention_slicing()
+    print("Model loaded successfully.")
+
+from contextlib import asynccontextmanager
+
+@asynccontextmanager
+async def lifespan(app: FastAPI):
+    # Model loading is heavy, we'll do it on first request to avoid timeout at startup
+    yield
+
+app = FastAPI(lifespan=lifespan)
+
+# Serve generated images
+from fastapi.staticfiles import StaticFiles
+app.mount("/outputs", StaticFiles(directory=OUTPUT_DIR), name="outputs")
+
+class ImageRequest(BaseModel):
+    prompt: str
+    lesson_id: str
+
+@app.post("/generate")
+async def generate_image(request: ImageRequest):
+    global pipe
+    if pipe is None:
+        load_model()
+    
+    try:
+        print(f"Generating image for prompt: {request.prompt}")
+        
+        generator = torch.manual_seed(42)
+        # Using a small number of steps for speed since it's on CPU
+        image = pipe(
+            request.prompt,
+            num_inference_steps=20,
+            generator=generator
+        ).images[0]
+        
+        image_filename = f"image_{request.lesson_id}_{uuid.uuid4().hex[:8]}.png"
+        image_path = os.path.join(OUTPUT_DIR, image_filename)
+        
+        image.save(image_path)
+        
+        # Return the absolute URL pointing to t-800 so the frontend can find it
+        hostname = os.getenv("BRIDGE_HOSTNAME", "localhost")
+        full_url = f"http://{hostname}:8080/outputs/{image_filename}"
+        
+        return {"status": "completed", "url": full_url}
+        
+    except Exception as e:
+        print(f"Generation error: {e}")
+        raise HTTPException(status_code=500, detail=str(e))
+
+@app.get("/health")
+async def health():
+    return {"status": "ok", "model_loaded": pipe is not None}
+
+if __name__ == "__main__":
+    import uvicorn
+    uvicorn.run(app, host="0.0.0.0", port=8080)

services/cms-service/src/handlers.rs

@@ -1283,6 +1283,125 @@ pub async fn generate_quiz(
     Ok(Json(quiz_blocks))
 }
 
+#[derive(Deserialize)]
+pub struct VideoAIRequest {
+    pub prompt: Option<String>,
+}
+
+pub async fn generate_image(
+    Org(org_ctx): Org,
+    claims: common::auth::Claims,
+    State(pool): State<PgPool>,
+    Path(id): Path<Uuid>,
+    Json(payload): Json<VideoAIRequest>,
+) -> Result<Json<Lesson>, StatusCode> {
+    if let Some(prompt) = &payload.prompt {
+        tracing::info!("Received prompt for video generation: {}", prompt);
+    }
+
+    // 1. Fetch lesson
+    let _lesson =
+        sqlx::query_as::<_, Lesson>("SELECT * FROM lessons WHERE id = $1 AND organization_id = $2")
+            .bind(id)
+            .bind(org_ctx.id)
+            .fetch_one(&pool)
+            .await
+            .map_err(|_| StatusCode::NOT_FOUND)?;
+
+    // 2. Set status to queued
+    let updated_lesson = sqlx::query_as::<_, Lesson>(
+        "UPDATE lessons SET video_generation_status = 'queued', video_generation_error = NULL WHERE id = $1 RETURNING *",
+    )
+    .bind(id)
+    .fetch_one(&pool)
+    .await
+    .map_err(|e| {
+        tracing::error!("Database update failed (video queued): {}", e);
+        StatusCode::INTERNAL_SERVER_ERROR
+    })?;
+
+    log_action(
+        &pool,
+        org_ctx.id,
+        claims.sub,
+        "VIDEO_GENERATION_QUEUED",
+        "Lesson",
+        id,
+        json!({ "status": "queued" }),
+    )
+    .await;
+
+    // 3. Spawn background task
+    let pool_clone = pool.clone();
+    let prompt_to_task = payload.prompt.clone();
+    tokio::spawn(async move {
+        if let Err(e) = run_image_generation_task(pool_clone, id, prompt_to_task).await {
+            tracing::error!("Image generation task failed for lesson {}: {}", id, e);
+        }
+    });
+
+    Ok(Json(updated_lesson))
+}
+
+pub async fn run_image_generation_task(pool: PgPool, lesson_id: Uuid, custom_prompt: Option<String>) -> Result<(), String> {
+    // 1. Set status to processing
+    sqlx::query("UPDATE lessons SET video_generation_status = 'processing' WHERE id = $1")
+        .bind(lesson_id)
+        .execute(&pool)
+        .await
+        .map_err(|e| format!("Update to processing failed: {}", e))?;
+
+    // 2. Call Local Video Bridge (Python)
+    let client = reqwest::Client::new();
+    let bridge_base_url = std::env::var("LOCAL_VIDEO_BRIDGE_URL")
+        .unwrap_or_else(|_| "http://localhost:8080".to_string());
+    let bridge_url = format!("{}/generate", bridge_base_url);
+    
+    // Fallback logic for prompt: Custom Prompt > Title
+    let final_prompt = match custom_prompt {
+        Some(p) if !p.is_empty() => p,
+        _ => {
+            sqlx::query_scalar("SELECT title FROM lessons WHERE id = $1")
+                .bind(lesson_id)
+                .fetch_one(&pool)
+                .await
+                .map_err(|e| format!("Failed to fetch fallback prompt: {}", e))?
+        }
+    };
+
+    let response = client.post(bridge_url)
+        .json(&serde_json::json!({
+            "prompt": final_prompt,
+            "lesson_id": lesson_id.to_string()
+        }))
+        .send()
+        .await
+        .map_err(|e| format!("Failed to call video bridge: {}", e))?;
+
+    if !response.status().is_success() {
+        let err_text = response.text().await.unwrap_or_default();
+        return Err(format!("Video bridge error: {}", err_text));
+    }
+
+    let result: serde_json::Value = response.json().await
+        .map_err(|e| format!("Failed to parse video bridge response: {}", e))?;
+
+    let content_url = result["url"].as_str()
+        .ok_or_else(|| "Video bridge response missing URL".to_string())?;
+
+    // 3. Complete task
+    sqlx::query(
+        "UPDATE lessons SET video_generation_status = 'completed', content_url = $1, content_type = 'image' WHERE id = $2"
+    )
+    .bind(content_url)
+    .bind(lesson_id)
+    .execute(&pool)
+    .await
+    .map_err(|e| format!("Update to completed failed: {}", e))?;
+
+    Ok(())
+}
+
 pub async fn get_lesson(
     Org(org_ctx): Org,
     State(pool): State<PgPool>,

services/cms-service/src/handlers/tasks.rs

@@ -14,6 +14,7 @@ pub struct BackgroundTask {
     pub title: String,
     pub course_title: Option<String>,
     pub transcription_status: Option<String>,
+    pub video_generation_status: Option<String>,
     pub updated_at: chrono::DateTime<chrono::Utc>,
 }
 
@@ -34,11 +35,13 @@ pub async fn get_background_tasks(
             l.title, 
             c.title as course_title,
             l.transcription_status,
+            l.video_generation_status,
             l.updated_at
         FROM lessons l
         JOIN modules m ON l.module_id = m.id
         JOIN courses c ON m.course_id = c.id
         WHERE l.transcription_status IN ('queued', 'processing', 'failed')
+           OR l.video_generation_status IN ('queued', 'processing', 'failed')
         ORDER BY l.updated_at DESC
     "#;
 

services/cms-service/src/main.rs

@@ -74,6 +74,36 @@ async fn main() {
                 }
             }
 
+            // Check for queued video generations
+            let queued_video_lessons: Vec<sqlx::types::Uuid> = match sqlx::query_scalar(
+                "SELECT id FROM lessons WHERE video_generation_status = 'queued' LIMIT 5",
+            )
+            .fetch_all(&worker_pool)
+            .await
+            {
+                Ok(ids) => ids,
+                Err(e) => {
+                    tracing::error!("Failed to fetch queued video lessons: {}", e);
+                    tokio::time::sleep(Duration::from_secs(10)).await;
+                    continue;
+                }
+            };
+
+            for lesson_id in queued_video_lessons {
+                tracing::info!("Processing video generation for lesson: {}", lesson_id);
+                if let Err(e) =
+                    handlers::run_image_generation_task(worker_pool.clone(), lesson_id, None).await
+                {
+                    tracing::error!("Image generation task failed for lesson {}: {}", lesson_id, e);
+                    let _ = sqlx::query(
+                        "UPDATE lessons SET video_generation_status = 'failed' WHERE id = $1",
+                    )
+                    .bind(lesson_id)
+                    .execute(&worker_pool)
+                    .await;
+                }
+            }
+
             tokio::time::sleep(Duration::from_secs(5)).await;
         }
     });
@@ -145,6 +175,7 @@ async fn main() {
         .route("/lessons/{id}/vtt", get(handlers::get_lesson_vtt))
         .route("/lessons/{id}/summarize", post(handlers::summarize_lesson))
         .route("/lessons/{id}/generate-quiz", post(handlers::generate_quiz))
+        .route("/lessons/{id}/generate-image", post(handlers::generate_image))
         .route("/courses/generate", post(handlers::generate_course))
         .route("/courses/{id}/export", get(handlers::export_course))
         .route("/courses/import", post(handlers::import_course))

shared/common/src/models.rs

@@ -50,6 +50,8 @@ pub struct Lesson {
     pub due_date: Option<DateTime<Utc>>,
     pub important_date_type: Option<String>, // "exam", "assignment", "milestone", etc.
     pub transcription_status: Option<String>,
+    pub video_generation_status: Option<String>,
+    pub video_generation_error: Option<String>,
     pub is_previewable: bool,
     pub created_at: DateTime<Utc>,
 }

web/studio/src/app/courses/[id]/lessons/[lessonId]/page.tsx

@@ -21,7 +21,8 @@ import {
     Brain,
     Library,
     BookMarked,
-    ArrowLeft
+    ArrowLeft,
+    ImageIcon
 } from 'lucide-react';
 import DescriptionBlock from "@/components/blocks/DescriptionBlock";
 import MediaBlock from "@/components/blocks/MediaBlock";
@@ -78,6 +79,8 @@ export default function LessonEditor({ params }: { params: { id: string; lessonI
     const [isAIQuizModalOpen, setIsAIQuizModalOpen] = useState(false);
     const [aiQuizContext, setAiQuizContext] = useState("");
     const [aiQuizType, setAiQuizType] = useState("multiple-choice");
+    const [aiImagePrompt, setAiImagePrompt] = useState("");
+    const [isGeneratingImage, setIsGeneratingImage] = useState(false);
 
     const [editValue, setEditValue] = useState("");
 
@@ -86,7 +89,10 @@ export default function LessonEditor({ params }: { params: { id: string; lessonI
     useEffect(() => {
         let interval: NodeJS.Timeout;
 
-        if (lesson && (lesson.transcription_status === 'queued' || lesson.transcription_status === 'processing')) {
+        if (lesson && (
+            lesson.video_generation_status === 'queued' ||
+            lesson.video_generation_status === 'processing'
+        )) {
             interval = setInterval(async () => {
                 try {
                     const updated = await cmsApi.getLesson(params.lessonId);
@@ -362,6 +368,32 @@ export default function LessonEditor({ params }: { params: { id: string; lessonI
         }
     };
 
+    const handleGenerateImage = async () => {
+        if (!lesson) return;
+        setIsGeneratingImage(true);
+        try {
+            // Option 2: Use lesson content (blocks) as script if no prompt
+            const scriptFromBlocks = blocks
+                .map(b => b.content || b.description || b.title || "")
+                .filter(txt => txt.trim().length > 0)
+                .join(". ");
+
+            // Option 3: Prioritize manual prompt, then script
+            const finalPrompt = aiImagePrompt.trim() || scriptFromBlocks;
+
+            const updated = await cmsApi.generateImage(lesson.id, {
+                prompt: finalPrompt
+            });
+            setLesson(updated);
+            setAiImagePrompt("");
+            alert("Generación de imagen iniciada con el prompt/guion detectado.");
+        } catch (err: any) {
+            alert(err.message || "Failed to initiate image generation.");
+        } finally {
+            setIsGeneratingImage(false);
+        }
+    };
+
     if (loading) return <div className="py-20 text-center text-gray-500 animate-pulse font-medium">Initializing Activity Builder...</div>;
     if (!lesson) return <div className="py-20 text-center text-red-400">Activity not found.</div>;
 
@@ -872,6 +904,35 @@ export default function LessonEditor({ params }: { params: { id: string; lessonI
                                     <div className="font-black text-xl tracking-tight">{isGeneratingQuiz ? 'Building Quiz...' : 'Generate New Test'}</div>
                                 </div>
                             </button>
+
+                            <div className="col-span-full space-y-3 mt-4">
+                                <label className="text-xs font-bold text-slate-500 uppercase tracking-wider flex items-center gap-2">
+                                    <ImageIcon size={14} className="text-amber-500" />
+                                    Custom Image Prompt (Optional)
+                                </label>
+                                <textarea
+                                    value={aiImagePrompt}
+                                    onChange={(e) => setAiImagePrompt(e.target.value)}
+                                    placeholder="Describe what you want to see in the image, or leave blank to use the lesson script..."
+                                    className="w-full bg-slate-50 dark:bg-white/5 border border-slate-200 dark:border-white/10 rounded-2xl p-4 text-sm focus:ring-2 focus:ring-amber-500/20 focus:border-amber-500 outline-none transition-all min-h-[100px] text-slate-700 dark:text-gray-300"
+                                />
+                            </div>
+
+                            <button
+                                onClick={handleGenerateImage}
+                                disabled={isGeneratingImage || lesson.video_generation_status === 'queued' || lesson.video_generation_status === 'processing'}
+                                className={`group/btn p-8 border rounded-[2rem] transition-all text-left flex flex-col gap-4 shadow-sm relative overflow-hidden ${isGeneratingImage || lesson.video_generation_status === 'queued' || lesson.video_generation_status === 'processing' ? 'bg-amber-50 dark:bg-amber-500/20 border-amber-200 dark:border-amber-500/50 text-amber-600 dark:text-amber-300 animate-pulse' : 'bg-white dark:bg-white/5 border-slate-100 dark:border-white/10 text-slate-400 dark:text-amber-400 hover:border-amber-500/50 hover:bg-amber-50 hover:text-amber-600 dark:hover:bg-amber-500/10'}`}
+                            >
+                                <div className="w-12 h-12 rounded-2xl bg-amber-100 dark:bg-amber-500/20 flex items-center justify-center text-amber-600 dark:text-amber-400 shadow-sm group-hover/btn:scale-110 transition-transform">
+                                    {(isGeneratingImage || lesson.video_generation_status === 'queued' || lesson.video_generation_status === 'processing') ? '⏳' : <ImageIcon />}
+                                </div>
+                                <div className="space-y-1">
+                                    <div className="text-[10px] font-black uppercase tracking-[0.2em] opacity-80">Generative AI</div>
+                                    <div className="font-black text-xl tracking-tight">
+                                        {(isGeneratingImage || lesson.video_generation_status === 'queued' || lesson.video_generation_status === 'processing') ? 'Generating Image...' : 'Generate AI Image'}
+                                    </div>
+                                </div>
+                            </button>
                         </div>
                     </div>
                 )

web/studio/src/app/page.tsx

@@ -281,13 +281,13 @@ export default function StudioDashboard() {
         title="AI Course Wizard"
       >
         <form onSubmit={handleAIGenerate} className="space-y-6">
-          <div className="p-4 rounded-xl bg-indigo-500/5 border border-indigo-500/10 mb-2">
-            <p className="text-xs text-indigo-300 leading-relaxed font-medium">
+          <div className="p-4 rounded-xl bg-blue-50 dark:bg-blue-500/10 border border-blue-100 dark:border-blue-500/20 mb-2">
+            <p className="text-sm text-blue-800 dark:text-blue-300 leading-relaxed font-medium">
               Describe the course topic and target audience. Our AI will structure the modules and lessons for you in seconds.
             </p>
           </div>
           <div>
-            <label className="block text-sm font-medium text-gray-500 dark:text-gray-400 mb-2">
+            <label className="block text-sm font-bold text-slate-700 dark:text-gray-300 mb-2">
               Course Topic or Description
             </label>
             <textarea
@@ -297,7 +297,7 @@ export default function StudioDashboard() {
               value={aiPrompt}
               onChange={(e) => setAiPrompt(e.target.value)}
               placeholder="e.g. A comprehensive guide to building distributed systems with Rust and Axum for intermediate developers."
-              className="w-full bg-black/5 dark:bg-black/40 border border-black/10 dark:border-white/10 rounded-lg px-4 py-3 focus:outline-none focus:ring-2 focus:ring-purple-500/50 transition-all text-gray-900 dark:text-white resize-none"
+              className="w-full bg-slate-50 dark:bg-black/40 border border-slate-200 dark:border-white/10 rounded-xl px-4 py-3 focus:outline-none focus:ring-2 focus:ring-blue-500/50 transition-all text-slate-900 dark:text-white resize-none placeholder:text-slate-400 dark:placeholder:text-gray-600"
               disabled={isGenerating}
             />
           </div>
@@ -306,14 +306,14 @@ export default function StudioDashboard() {
               type="button"
               onClick={() => setIsAIModalOpen(false)}
               disabled={isGenerating}
-              className="flex-1 px-4 py-2.5 bg-white/5 hover:bg-white/10 border border-white/10 rounded-lg transition-all text-sm font-medium"
+              className="flex-1 px-4 py-3 bg-slate-100 dark:bg-white/5 hover:bg-slate-200 dark:hover:bg-white/10 border border-slate-200 dark:border-white/10 rounded-xl transition-all text-sm font-bold text-slate-700 dark:text-gray-300"
             >
               Cancel
             </button>
             <button
               type="submit"
               disabled={isGenerating}
-              className="flex-[2] px-4 py-2.5 bg-indigo-600 hover:bg-indigo-500 text-white rounded-lg transition-all shadow-lg shadow-indigo-500/20 font-bold text-sm flex items-center justify-center gap-2"
+              className="flex-[2] px-4 py-3 bg-blue-600 hover:bg-blue-500 text-white rounded-xl transition-all shadow-lg shadow-blue-500/25 font-bold text-sm flex items-center justify-center gap-2 active:scale-[0.98]"
             >
               {isGenerating ? (
                 <>

web/studio/src/components/Modal.tsx

@@ -32,21 +32,21 @@ export default function Modal({ isOpen, onClose, title, children }: ModalProps)
     if (!isOpen) return null;
 
     return (
-        <div className="fixed inset-0 z-[100] flex items-center justify-center p-4 bg-black/60 backdrop-blur-sm animate-in fade-in duration-200">
+        <div className="fixed inset-0 z-[100] flex items-center justify-center p-4 bg-black/40 backdrop-blur-md animate-in fade-in duration-300">
             <div
                 ref={modalRef}
                 role="dialog"
                 aria-modal="true"
                 aria-labelledby="modal-title"
-                className="w-full max-w-md glass-card bg-[#1a1d23] border border-white/10 rounded-2xl p-8 shadow-2xl animate-in zoom-in-95 duration-200"
+                className="w-full max-w-md glass-card bg-white/90 dark:bg-slate-900/90 border border-slate-200 dark:border-white/10 rounded-2xl p-8 shadow-2xl animate-in zoom-in-95 duration-200 flex flex-col"
             >
                 <div className="flex justify-between items-center mb-6">
-                    <h2 id="modal-title" className="text-xl font-bold bg-gradient-to-r from-white to-gray-400 bg-clip-text text-transparent italic">
+                    <h2 id="modal-title" className="text-xl font-bold bg-gradient-to-r from-slate-900 to-slate-600 dark:from-white dark:to-slate-400 bg-clip-text text-transparent">
                         {title}
                     </h2>
                     <button
                         onClick={onClose}
-                        className="p-2 hover:bg-white/5 rounded-full transition-colors text-gray-400 hover:text-white"
+                        className="p-2 hover:bg-slate-100 dark:hover:bg-white/5 rounded-full transition-colors text-slate-400 dark:text-gray-400 hover:text-slate-900 dark:hover:text-white"
                     >
                         <X size={20} aria-hidden="true" />
                     </button>

web/studio/src/lib/api.ts

@@ -112,6 +112,7 @@ export interface Lesson {
         cues?: { start: number; end: number; text: string }[];
     } | null;
     transcription_status?: 'idle' | 'queued' | 'processing' | 'completed' | 'failed';
+    video_generation_status?: 'idle' | 'queued' | 'processing' | 'completed' | 'failed';
     is_previewable: boolean;
     created_at: string;
 }
@@ -631,6 +632,7 @@ export const cmsApi = {
     updateLesson: (id: string, payload: Partial<Lesson>): Promise<Lesson> => apiFetch(`/lessons/${id}`, { method: 'PUT', body: JSON.stringify(payload) }),
     summarizeLesson: (id: string): Promise<Lesson> => apiFetch(`/lessons/${id}/summarize`, { method: 'POST' }),
     generateQuiz: (id: string, payload: { context?: string, quiz_type?: string }): Promise<Block[]> => apiFetch(`/lessons/${id}/generate-quiz`, { method: 'POST', body: JSON.stringify(payload) }),
+    generateImage: (id: string, payload: { prompt?: string } = {}): Promise<Lesson> => apiFetch(`/lessons/${id}/generate-image`, { method: 'POST', body: JSON.stringify(payload) }),
     reviewText: (text: string): Promise<{ suggestion: string, comments: string }> => apiFetch('/api/ai/review-text', { method: 'POST', body: JSON.stringify({ text }) }),
     deleteModule: (id: string): Promise<void> => apiFetch(`/modules/${id}`, { method: 'DELETE' }),
     deleteLesson: (id: string): Promise<void> => apiFetch(`/lessons/${id}`, { method: 'DELETE' }),
@@ -958,5 +960,6 @@ export interface BackgroundTask {
     title: string;
     course_title?: string;
     transcription_status?: 'idle' | 'queued' | 'processing' | 'failed' | 'completed';
+    video_generation_status?: 'idle' | 'queued' | 'processing' | 'failed' | 'completed';
     updated_at: string;
 }