Update app.py

app.py

@@ -321,19 +321,19 @@ async def generate_story_audios(story: StoryCreationDTO, base_output: str, max_c
     story_dir = Path(base_output) / story.storyId
     story_dir.mkdir(parents=True, exist_ok=True)
 
-    print(f"[INFO] Generating story '{story.storyId}' in {story_dir}")
+    #print(f"[INFO] Generating story '{story.storyId}' in {story_dir}")
 
     # Semaphore ensures we don't overload GPU
     gpu_semaphore = asyncio.Semaphore(max_concurrent_gpu)
 
     async def process_sentence(chapter_dir: Path, scene: SceneDto, sentence: SentenceDto):
-        print(f"[INFO] Starting sentence '{sentence.sentenceId}' in scene '{scene.sceneId}'")
+        #print(f"[INFO] Starting sentence '{sentence.sentenceId}' in scene '{scene.sceneId}'")
         async with gpu_semaphore:
-            print(f"[GPU] Acquired GPU for sentence '{sentence.sentenceId}'")
+            #print(f"[GPU] Acquired GPU for sentence '{sentence.sentenceId}'")
             # Get prosody file from cache
             prosody_file = download_cache.get(sentence.prosodyReference)
             if not prosody_file:
-                print(f"[WARN] Prosody file for '{sentence.sentenceId}' not found in cache")
+                #print(f"[WARN] Prosody file for '{sentence.sentenceId}' not found in cache")
                 return None
 
             sentence_save_path = chapter_dir / scene.sceneId / f"{sentence.sentenceId}.wav"
@@ -354,7 +354,7 @@ async def generate_story_audios(story: StoryCreationDTO, base_output: str, max_c
                 prosody_file,
                 str(sentence_save_path)
             )
-            print(f"[DONE] Generated audio for sentence '{sentence.sentenceId}' -> {generated_path}")
+            #print(f"[DONE] Generated audio for sentence '{sentence.sentenceId}' -> {generated_path}")
             return generated_path
 
     # Prepare tasks for chapters
@@ -374,7 +374,7 @@ async def generate_story_audios(story: StoryCreationDTO, base_output: str, max_c
             chapter.title.intensity
         )
 
-        print(f"[GPU] Generating title audio for chapter '{chapter.chapterId}'")
+        #print(f"[GPU] Generating title audio for chapter '{chapter.chapterId}'")
         loop = asyncio.get_event_loop()
         await loop.run_in_executor(
             None,
@@ -383,29 +383,29 @@ async def generate_story_audios(story: StoryCreationDTO, base_output: str, max_c
             title_prosody,
             str(title_save_path)
         )
-        print(f"[DONE] Generated title audio for chapter '{chapter.chapterId}' -> {title_save_path}")
+        #print(f"[DONE] Generated title audio for chapter '{chapter.chapterId}' -> {title_save_path}")
 
         # --- Scenes ---
         scene_tasks = []
         for scene in chapter.scenes:
-            print(f"[INFO] Downloading files for scene '{scene.sceneId}'")
+            #print(f"[INFO] Downloading files for scene '{scene.sceneId}'")
             await download_scene_files(scene)
 
             for sentence in scene.sentences:
                 scene_tasks.append(process_sentence(chapter_dir, scene, sentence))
 
         if scene_tasks:
-            print(f"[INFO] Running {len(scene_tasks)} sentences for chapter '{chapter.chapterId}' concurrently")
+            #print(f"[INFO] Running {len(scene_tasks)} sentences for chapter '{chapter.chapterId}' concurrently")
             chapter_tasks.append(asyncio.gather(*scene_tasks))
         else:
-            print(f"[WARN] No sentences found in chapter '{chapter.chapterId}'")
+            #print(f"[WARN] No sentences found in chapter '{chapter.chapterId}'")
 
     # Wait for all chapters to complete
     if chapter_tasks:
         await asyncio.gather(*chapter_tasks)
-        print(f"[INFO] Completed generating all chapters for story '{story.storyId}'")
+        #print(f"[INFO] Completed generating all chapters for story '{story.storyId}'")
     else:
-        print(f"[WARN] No chapters/tasks to process for story '{story.storyId}'")
+        #print(f"[WARN] No chapters/tasks to process for story '{story.storyId}'")
 
 #_______________ Concatenating the generated audios to make the final story (post-processing)_______________________