refactor: rename project Lyria Studio → Kithara Studio

- App name, UI text, page titles → Kithara Studio
- Python module: lyria_client.py → kithara_client.py
- Tailwind color classes: lyria-* → kithara-*
- CSS custom properties: --lyria-* → --kithara-*
- Database: lyria.db → kithara.db
- Package name: kithara-studio-frontend
- localStorage key: kithara-saved-searches
- Add project logo (lyre icon, black on transparent, invert via CSS)

Preserved as Google's property:
- LYRIA_API_KEY, LYRIA_BASE_URL, LYRIA_DEFAULT_MODEL env vars
- LYRIA_MODELS dict and model IDs (lyria-3-clip-preview, lyria-3-pro-preview)
- Google Lyria API references in error messages and docstrings

backend/src/database.py

@@ -4,7 +4,7 @@ import uuid
 from datetime import datetime, timezone
 from pathlib import Path
 
-DB_PATH = Path(__file__).parent.parent / "data" / "lyria.db"
+DB_PATH = Path(__file__).parent.parent / "data" / "kithara.db"
 DB_PATH.parent.mkdir(parents=True, exist_ok=True)
 
 # Timezone from TZ env var (default: America/New_York)

backend/src/kithara_client.py

@@ -4,7 +4,7 @@ import os
 import logging
 from pathlib import Path
 
-logger = logging.getLogger("lyria_client")
+logger = logging.getLogger("kithara_client")
 
 LYRIA_API_KEY = os.getenv("LYRIA_API_KEY", "")
 LYRIA_BASE_URL = "https://generativelanguage.googleapis.com/v1beta"
@@ -50,11 +50,11 @@ async def generate_clip(prompt: str, model: str = "lyria-3-clip-preview", durati
             block_reason = data.get("blockReason", "")
             if block_reason:
                 block_message = data.get("blockReasonMessage", "")
-                logger.warning(f"Lyria API blocked: {block_reason} — {block_message}")
+                logger.warning(f"Google Lyria API blocked: {block_reason} — {block_message}")
                 return {"success": False, "error": f"Prompt was filtered. Try describing the sound using mood, instruments, and tempo instead of genre names. ({block_message or block_reason})"}
             
             # Extract base64 audio from response
-            # Lyria returns parts array: first part may be text (e.g. "<instrumental>"),
+            # Google Lyria returns parts array: first part may be text (e.g. "<instrumental>"),
             # audio is in inlineData of a subsequent part.
             candidates = data.get("candidates", [])
             if not candidates:
@@ -103,7 +103,7 @@ async def generate_clip(prompt: str, model: str = "lyria-3-clip-preview", durati
                 error_detail = e.response.json().get("error", {}).get("message", str(e))
             except:
                 error_detail = str(e)
-            return {"success": False, "error": f"Lyria API error: {error_detail}"}
+            return {"success": False, "error": f"Google Lyria API error: {error_detail}"}
         except Exception as e:
             return {"success": False, "error": f"Client error: {str(e)}"}
 

backend/src/main.py

@@ -6,18 +6,18 @@ import os
 import shutil
 from dotenv import load_dotenv
 
-# Load environment variables BEFORE importing lyria_client (it reads env at module level)
+# Load environment variables BEFORE importing kithara_client (it reads env at module level)
 load_dotenv(Path(__file__).parent.parent / ".env")
 
 from models import GenerateRequest, GenerateResponse, ClipList, RenameRequest, MetadataRequest, GenerateArtworkRequest, LYRIA_MODELS, DEFAULT_MODEL
 from database import init_db, create_clip, get_clips, get_clip, delete_clip, update_clip_status, rename_clip, set_artwork, remove_artwork, delete_all_clips, set_analysis, update_metadata
-from lyria_client import generate_clip, save_clip_file
+from kithara_client import generate_clip, save_clip_file
 from waveform import generate_waveform_svg, get_waveform_path
 from analysis import analyze_clip
 from image_gen import generate_artwork, get_image_gen_config, get_available_models, SAFETY_LEVELS
 from text_gen import suggest_prompts, get_text_gen_config, get_available_models as get_text_models
 
-app = FastAPI(title="Lyria Studio", version="0.1.0")
+app = FastAPI(title="Kithara Studio", version="0.1.0")
 
 app.add_middleware(
     CORSMiddleware,
@@ -49,7 +49,7 @@ async def list_models():
     return {"models": LYRIA_MODELS, "default": DEFAULT_MODEL}
 
 async def _generate_and_save(clip_id: str, prompt: str, model: str, duration: int):
-    """Background task: call Lyria API and save the result.
+    """Background task: call Google Lyria API and save the result.
     
     DR-LYRIA-001: Pre-generates waveform SVG after clip is ready,
     so users never wait for on-demand generation.