feat: Text generation suggestions via Gemini models
Backend:
- New text_gen.py module with Gemini text generation client
- suggest_prompts(): generates 3 prompt suggestions from user input
- get_text_gen_config(): loads config from .env (model, API key, safety)
- get_available_models(): returns list of Gemini text models
- Safety settings: harassment, hate_speech, sexually_explicit, dangerous
Configurable via TEXT_GEN_SAFETY_* env vars (default: BLOCK_ONLY_HIGH)
- New endpoints:
* POST /api/text-gen/suggest — generates 3 prompt suggestions
* GET /api/text-gen/models — lists available text models
* GET /api/text-gen/config — returns safe config (API key masked)
* POST /api/text-gen/config — updates config in-memory
- Default model: gemini-2.5-flash
- Fallback API key: LYRIA_API_KEY if TEXT_GEN_API_KEY not set
- System prompt: expert music producer persona for rich musical detail
Frontend:
- New SuggestionsModal component for displaying generated suggestions
- Auto-fetches when opened
- Shows loading spinner, error state, or suggestion list
- Each suggestion clickable to populate the prompt field
- Hover effect: 'Click to use this prompt →'
- Generator component updated with 'Get Suggestions ✨' button
- Appears next to prompt label in both Basic and Advanced modes
- Disabled when no input present
- Clicking suggestion populates the prompt/structured fields
- SettingsModal expanded with Text Generation section (collapsible)
- Same pattern as Image Generation: model, API key status, safety filters
- Editable dropdowns with Save Changes button
- Refactored to use shared useGenSettings hook for both sections
Models Available:
- gemini-2.5-flash (GA, default) — best price-to-performance
- gemini-2.5-pro (GA) — highest quality reasoning
- gemini-3.5-flash (Preview) — next-gen Flash
- gemini-3.1-flash (Preview) — latest with thinking
Architecture KB and Tasks KB updated.
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@@ -14,9 +14,8 @@ from database import init_db, create_clip, get_clips, get_clip, delete_clip, upd
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from lyria_client import generate_clip, save_clip_file
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from waveform import generate_waveform_svg, get_waveform_path
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from analysis import analyze_clip
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from image_gen import generate_artwork, get_image_gen_config, get_available_models
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from analysis import analyze_clip
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from image_gen import generate_artwork, get_image_gen_config, get_available_models, SAFETY_LEVELS
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from text_gen import suggest_prompts, get_text_gen_config, get_available_models as get_text_models
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app = FastAPI(title="Lyria Studio", version="0.1.0")
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@@ -320,6 +319,55 @@ async def update_image_gen_configuration(request: dict):
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return {"status": "updated"}
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# ─── Text Generation Endpoints ──────────────────────────────────────
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@app.get("/api/text-gen/models")
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async def list_text_gen_models():
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"""List available text generation models."""
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return {"models": get_text_models()}
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@app.get("/api/text-gen/config")
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async def get_text_gen_configuration():
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"""Get current text generation configuration (safe values only)."""
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config = get_text_gen_config()
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return {
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"model": config["model"],
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"safety_harassment": config["safety_harassment"],
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"safety_hate_speech": config["safety_hate_speech"],
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"safety_sexually_explicit": config["safety_sexually_explicit"],
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"safety_dangerous": config["safety_dangerous"],
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"has_api_key": bool(config.get("api_key")),
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}
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@app.post("/api/text-gen/config")
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async def update_text_gen_configuration(request: dict):
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"""Update text generation configuration (in-memory only)."""
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if "model" in request:
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os.environ["TEXT_GEN_MODEL"] = request["model"]
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if "safety_harassment" in request:
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os.environ["TEXT_GEN_SAFETY_HARASSMENT"] = request["safety_harassment"]
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if "safety_hate_speech" in request:
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os.environ["TEXT_GEN_SAFETY_HATE_SPEECH"] = request["safety_hate_speech"]
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if "safety_sexually_explicit" in request:
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os.environ["TEXT_GEN_SAFETY_SEXUALLY_EXPLICIT"] = request["safety_sexually_explicit"]
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if "safety_dangerous" in request:
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os.environ["TEXT_GEN_SAFETY_DANGEROUS"] = request["safety_dangerous"]
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return {"status": "updated"}
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@app.post("/api/text-gen/suggest")
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async def get_suggestions(request: dict):
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"""Get prompt suggestions based on user input."""
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user_input = request.get("input", "").strip()
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if not user_input:
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raise HTTPException(status_code=400, detail="Input is required")
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try:
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config = get_text_gen_config()
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suggestions = await suggest_prompts(user_input, config=config)
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return {"suggestions": suggestions}
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except Exception as e:
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raise HTTPException(status_code=500, detail=f"Suggestion generation failed: {str(e)}")
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@app.patch("/api/clips/{clip_id}")
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async def rename_clip_endpoint(clip_id: str, request: RenameRequest):
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clip = await get_clip(clip_id)
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@@ -0,0 +1,140 @@
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"""Text generation client using Google Gemini models for prompt suggestions."""
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import os
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from typing import Optional
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from google import genai
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from google.genai import types
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# ── Configuration ──────────────────────────────────────────────────────────
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def get_text_gen_config():
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"""Load text generation configuration from environment."""
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return {
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"api_key": os.environ.get("TEXT_GEN_API_KEY") or os.environ.get("LYRIA_API_KEY"),
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"model": os.environ.get("TEXT_GEN_MODEL", "gemini-2.5-flash"),
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"safety_harassment": os.environ.get("TEXT_GEN_SAFETY_HARASSMENT", "BLOCK_ONLY_HIGH"),
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"safety_hate_speech": os.environ.get("TEXT_GEN_SAFETY_HATE_SPEECH", "BLOCK_ONLY_HIGH"),
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"safety_sexually_explicit": os.environ.get("TEXT_GEN_SAFETY_SEXUALLY_EXPLICIT", "BLOCK_ONLY_HIGH"),
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"safety_dangerous": os.environ.get("TEXT_GEN_SAFETY_DANGEROUS", "BLOCK_ONLY_HIGH"),
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}
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# ── Safety Settings ────────────────────────────────────────────────────────
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def build_safety_settings(config: dict) -> list:
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"""Build safety settings from config."""
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return [
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types.SafetySetting(
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category="HARM_CATEGORY_HARASSMENT",
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threshold=config.get("safety_harassment", "BLOCK_ONLY_HIGH"),
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),
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types.SafetySetting(
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category="HARM_CATEGORY_HATE_SPEECH",
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threshold=config.get("safety_hate_speech", "BLOCK_ONLY_HIGH"),
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),
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types.SafetySetting(
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category="HARM_CATEGORY_SEXUALLY_EXPLICIT",
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threshold=config.get("safety_sexually_explicit", "BLOCK_ONLY_HIGH"),
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),
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types.SafetySetting(
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category="HARM_CATEGORY_DANGEROUS_CONTENT",
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threshold=config.get("safety_dangerous", "BLOCK_ONLY_HIGH"),
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),
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]
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# ── Prompt Suggestion ──────────────────────────────────────────────────────
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SYSTEM_PROMPT = """You are an expert music producer and prompt engineer for AI music generation models.
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Your task is to help users write better prompts for generating music with AI models like Google Lyria.
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When given a user's idea or partial prompt, expand it into detailed, evocative music descriptions.
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Include specific details about:
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- Genre and subgenre
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- Instrumentation and sound design
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- Mood, energy, and emotional arc
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- Tempo and rhythmic feel
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- Structure (intro, build, drop, breakdown, etc.)
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- Production style (clean, lo-fi, distorted, etc.)
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Keep suggestions concise but rich in musical detail. Use terminology that music producers would use.
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"""
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async def suggest_prompts(user_input: str, model: str = None, config: dict = None) -> list:
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"""Generate prompt suggestions based on user input.
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Returns a list of suggestion strings.
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"""
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cfg = config or get_text_gen_config()
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client = genai.Client(api_key=cfg["api_key"])
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safety = build_safety_settings(cfg)
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prompt = f"""The user wants to generate music with an AI music model. They described their idea as:
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"{user_input}"
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Please provide 3 distinct, detailed prompts they could use. Each prompt should be a single paragraph that vividly describes the music. Make them different from each other — explore different angles of the user's idea.
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Format your response as a numbered list (1., 2., 3.) with just the prompts, no extra commentary."""
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response = client.models.generate_content(
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model=model or cfg["model"],
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contents=prompt,
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config=types.GenerateContentConfig(
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system_instruction=SYSTEM_PROMPT,
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safety_settings=safety,
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temperature=0.9,
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max_output_tokens=2048,
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),
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)
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# Parse response into list of suggestions
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text = response.text.strip()
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suggestions = []
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# Split by numbered lines (1., 2., 3.)
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import re
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# Find all text after numbers
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matches = re.findall(r'(?:^|\n)\d+\.\s*(.*?)(?=\n\d+\.|$)', text, re.DOTALL)
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if matches:
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suggestions = [m.strip() for m in matches if m.strip()]
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else:
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# Fallback: split by newlines and filter empty
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lines = [line.strip() for line in text.split('\n') if line.strip()]
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# Remove lines that are just numbers
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suggestions = [line for line in lines if not re.match(r'^\d+\.$', line)]
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return suggestions[:3] # Ensure max 3
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# ── Available Models ───────────────────────────────────────────────────────
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AVAILABLE_TEXT_MODELS = [
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{
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"id": "gemini-2.5-flash",
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"name": "Gemini 2.5 Flash",
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"description": "Best price-to-performance. Fast, capable, 1M context.",
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"status": "GA",
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},
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{
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"id": "gemini-2.5-pro",
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"name": "Gemini 2.5 Pro",
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"description": "Highest quality reasoning and coding. Slower, more expensive.",
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"status": "GA",
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},
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{
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"id": "gemini-3.5-flash",
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"name": "Gemini 3.5 Flash",
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"description": "Next-gen Flash. Strong reasoning, fast inference.",
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"status": "Preview",
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},
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{
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"id": "gemini-3.1-flash",
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"name": "Gemini 3.1 Flash",
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"description": "Latest Flash with thinking capabilities.",
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"status": "Preview",
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},
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]
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def get_available_models() -> list:
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"""Return list of available text generation models."""
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return AVAILABLE_TEXT_MODELS
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@@ -1,5 +1,6 @@
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import { useState, useEffect } from 'react'
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import StructuredPromptEditor, { PromptStructure } from './StructuredPromptEditor'
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import SuggestionsModal from './SuggestionsModal'
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interface ModelInfo {
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name: string
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@@ -23,6 +24,7 @@ export default function Generator({ onGenerate }: Props) {
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const [models, setModels] = useState<Record<string, ModelInfo>>({})
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const [promptMode, setPromptMode] = useState<PromptMode>('basic')
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const [structuredPrompt, setStructuredPrompt] = useState<PromptStructure>({})
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const [suggestionsOpen, setSuggestionsOpen] = useState(false)
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useEffect(() => {
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fetch('/api/models')
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@@ -181,9 +183,17 @@ export default function Generator({ onGenerate }: Props) {
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{/* Basic Prompt */}
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{(promptMode === 'basic' || !isPro) && (
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<div>
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<label className="block text-xs text-lyria-muted mb-1.5">
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Prompt
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</label>
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<div className="flex items-center justify-between mb-1.5">
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<label className="text-xs text-lyria-muted">Prompt</label>
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<button
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type="button"
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onClick={() => setSuggestionsOpen(true)}
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disabled={!prompt.trim()}
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className="text-xs text-lyria-accent hover:text-lyria-accent/80 transition-colors disabled:opacity-40"
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>
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Get Suggestions ✨
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</button>
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</div>
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<textarea
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value={prompt}
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onChange={(e) => setPrompt(e.target.value)}
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@@ -196,9 +206,17 @@ export default function Generator({ onGenerate }: Props) {
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{/* Advanced Prompt */}
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{promptMode === 'advanced' && isPro && (
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<div>
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<label className="block text-xs text-lyria-muted mb-1.5">
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Structured Prompt
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</label>
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<div className="flex items-center justify-between mb-1.5">
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<label className="text-xs text-lyria-muted">Structured Prompt</label>
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<button
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type="button"
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onClick={() => setSuggestionsOpen(true)}
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disabled={Object.values(structuredPrompt).every(v => !v?.trim())}
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className="text-xs text-lyria-accent hover:text-lyria-accent/80 transition-colors disabled:opacity-40"
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>
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Get Suggestions ✨
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</button>
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</div>
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<StructuredPromptEditor
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value={structuredPrompt}
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onChange={setStructuredPrompt}
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@@ -218,6 +236,20 @@ export default function Generator({ onGenerate }: Props) {
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{isLoading ? 'Generating...' : 'Generate'}
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</button>
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</form>
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<SuggestionsModal
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isOpen={suggestionsOpen}
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onClose={() => setSuggestionsOpen(false)}
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onSelect={(suggestion) => {
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if (promptMode === 'basic' || !isPro) {
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setPrompt(suggestion)
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} else {
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// For advanced mode, put it in the 'style' field or additional
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setStructuredPrompt(prev => ({ ...prev, additional: suggestion }))
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}
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}}
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userInput={promptMode === 'basic' || !isPro ? prompt : Object.values(structuredPrompt).filter(Boolean).join(' ')}
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/>
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</div>
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)
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}
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@@ -1,6 +1,6 @@
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import { useState, useEffect } from 'react'
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interface ImageGenConfig {
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interface GenConfig {
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model: string
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has_api_key: boolean
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safety_harassment: string
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@@ -9,7 +9,7 @@ interface ImageGenConfig {
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safety_dangerous: string
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}
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interface ImageGenModel {
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interface GenModel {
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id: string
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name: string
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description: string
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@@ -32,49 +32,97 @@ const SAFETY_OPTIONS = [
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{ value: 'BLOCK_LOW_AND_ABOVE', label: 'Block Most (Low+)' },
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]
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function useGenSettings(apiPrefix: string) {
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const [models, setModels] = useState<GenModel[]>([])
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const [config, setConfig] = useState<GenConfig | null>(null)
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const [edited, setEdited] = useState<Partial<GenConfig>>({})
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const [expanded, setExpanded] = useState(false)
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const [saving, setSaving] = useState(false)
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const [saveMessage, setSaveMessage] = useState('')
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const fetchModels = async () => {
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try {
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const res = await fetch(`/api/${apiPrefix}/models`)
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if (res.ok) {
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const data = await res.json()
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setModels(data.models)
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}
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} catch (e) {
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console.error(`Failed to fetch ${apiPrefix} models:`, e)
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}
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}
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const fetchConfig = async () => {
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try {
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const res = await fetch(`/api/${apiPrefix}/config`)
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if (res.ok) {
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const data = await res.json()
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setConfig(data)
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}
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} catch (e) {
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console.error(`Failed to fetch ${apiPrefix} config:`, e)
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}
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}
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const save = async () => {
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if (!edited || Object.keys(edited).length === 0) return
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setSaving(true)
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try {
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const res = await fetch(`/api/${apiPrefix}/config`, {
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method: 'POST',
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headers: { 'Content-Type': 'application/json' },
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body: JSON.stringify(edited),
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})
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if (res.ok) {
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setSaveMessage('Settings saved!')
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setConfig(prev => prev ? { ...prev, ...edited } : prev)
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setEdited({})
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setTimeout(() => setSaveMessage(''), 2000)
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} else {
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setSaveMessage('Failed to save')
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}
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} catch (e) {
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setSaveMessage('Failed to save')
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} finally {
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setSaving(false)
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}
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}
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const update = (key: string, value: string) => {
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setEdited(prev => ({ ...prev, [key]: value }))
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setSaveMessage('')
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}
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const getValue = (key: keyof GenConfig): string => {
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const val = edited[key] ?? config?.[key]
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return typeof val === 'string' ? val : 'BLOCK_ONLY_HIGH'
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}
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const hasChanges = Object.keys(edited).length > 0
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return {
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models, config, edited, expanded, setExpanded,
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saving, saveMessage, fetchModels, fetchConfig,
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save, update, getValue, hasChanges,
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}
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}
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export default function SettingsModal({ isOpen, onClose, onClearWaveforms, onDeleteAll, clipCount }: Props) {
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const [confirmDelete, setConfirmDelete] = useState(false)
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const [loading, setLoading] = useState(false)
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const [saving, setSaving] = useState(false)
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const [imageGenModels, setImageGenModels] = useState<ImageGenModel[]>([])
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const [imageGenConfig, setImageGenConfig] = useState<ImageGenConfig | null>(null)
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const [editedConfig, setEditedConfig] = useState<Partial<ImageGenConfig>>({})
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const [showImageGenSettings, setShowImageGenSettings] = useState(false)
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const [saveMessage, setSaveMessage] = useState('')
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const imageGen = useGenSettings('image-gen')
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const textGen = useGenSettings('text-gen')
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useEffect(() => {
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if (isOpen) {
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fetchImageGenModels()
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fetchImageGenConfig()
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setEditedConfig({})
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setSaveMessage('')
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imageGen.fetchModels()
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imageGen.fetchConfig()
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textGen.fetchModels()
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textGen.fetchConfig()
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}
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}, [isOpen])
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const fetchImageGenModels = async () => {
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try {
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const res = await fetch('/api/image-gen/models')
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if (res.ok) {
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const data = await res.json()
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setImageGenModels(data.models)
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}
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} catch (e) {
|
||||
console.error('Failed to fetch image gen models:', e)
|
||||
}
|
||||
}
|
||||
|
||||
const fetchImageGenConfig = async () => {
|
||||
try {
|
||||
const res = await fetch('/api/image-gen/config')
|
||||
if (res.ok) {
|
||||
const data = await res.json()
|
||||
setImageGenConfig(data)
|
||||
}
|
||||
} catch (e) {
|
||||
console.error('Failed to fetch image gen config:', e)
|
||||
}
|
||||
}
|
||||
|
||||
if (!isOpen) return null
|
||||
|
||||
const handleClearWaveforms = async () => {
|
||||
@@ -100,41 +148,102 @@ export default function SettingsModal({ isOpen, onClose, onClearWaveforms, onDel
|
||||
}
|
||||
}
|
||||
|
||||
const handleSaveImageGenConfig = async () => {
|
||||
if (!editedConfig || Object.keys(editedConfig).length === 0) return
|
||||
setSaving(true)
|
||||
try {
|
||||
const res = await fetch('/api/image-gen/config', {
|
||||
method: 'POST',
|
||||
headers: { 'Content-Type': 'application/json' },
|
||||
body: JSON.stringify(editedConfig),
|
||||
})
|
||||
if (res.ok) {
|
||||
setSaveMessage('Settings saved!')
|
||||
setImageGenConfig(prev => prev ? { ...prev, ...editedConfig } : prev)
|
||||
setEditedConfig({})
|
||||
setTimeout(() => setSaveMessage(''), 2000)
|
||||
} else {
|
||||
setSaveMessage('Failed to save')
|
||||
}
|
||||
} catch (e) {
|
||||
setSaveMessage('Failed to save')
|
||||
} finally {
|
||||
setSaving(false)
|
||||
}
|
||||
}
|
||||
const renderGenSection = (
|
||||
title: string,
|
||||
icon: React.ReactNode,
|
||||
gen: ReturnType<typeof useGenSettings>
|
||||
) => (
|
||||
<div className="border border-white/10 rounded-lg overflow-hidden">
|
||||
<button
|
||||
onClick={() => gen.setExpanded(!gen.expanded)}
|
||||
className="w-full flex items-center justify-between px-4 py-3 bg-white/5 hover:bg-white/10 transition-colors"
|
||||
>
|
||||
<div className="flex items-center gap-2">
|
||||
{icon}
|
||||
<span className="text-sm font-medium text-white">{title}</span>
|
||||
</div>
|
||||
<svg
|
||||
className={`w-4 h-4 text-lyria-muted transition-transform ${gen.expanded ? 'rotate-180' : ''}`}
|
||||
fill="none"
|
||||
stroke="currentColor"
|
||||
viewBox="0 0 24 24"
|
||||
>
|
||||
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M19 9l-7 7-7-7" />
|
||||
</svg>
|
||||
</button>
|
||||
|
||||
const updateEditedConfig = (key: string, value: string) => {
|
||||
setEditedConfig(prev => ({ ...prev, [key]: value }))
|
||||
setSaveMessage('')
|
||||
}
|
||||
{gen.expanded && (
|
||||
<div className="p-4 space-y-4">
|
||||
{/* Model Selection */}
|
||||
<div>
|
||||
<label className="block text-xs text-lyria-muted mb-1.5">Model</label>
|
||||
<select
|
||||
className="w-full bg-black/30 border border-white/10 rounded-md px-3 py-2 text-sm text-white focus:outline-none focus:border-lyria-accent"
|
||||
value={gen.getValue('model')}
|
||||
onChange={(e) => gen.update('model', e.target.value)}
|
||||
>
|
||||
{gen.models.map((model) => (
|
||||
<option key={model.id} value={model.id}>
|
||||
{model.name} ({model.status})
|
||||
</option>
|
||||
))}
|
||||
</select>
|
||||
</div>
|
||||
|
||||
const getConfigValue = (key: 'model' | 'safety_harassment' | 'safety_hate_speech' | 'safety_sexually_explicit' | 'safety_dangerous'): string => {
|
||||
const val = editedConfig[key] ?? imageGenConfig?.[key]
|
||||
return typeof val === 'string' ? val : 'BLOCK_ONLY_HIGH'
|
||||
}
|
||||
{/* API Key Status */}
|
||||
<div className="flex items-center gap-2">
|
||||
<div className={`w-2 h-2 rounded-full ${gen.config?.has_api_key ? 'bg-green-400' : 'bg-red-400'}`} />
|
||||
<span className="text-xs text-lyria-muted">
|
||||
{gen.config?.has_api_key ? 'API key configured' : 'No API key — set in .env'}
|
||||
</span>
|
||||
</div>
|
||||
|
||||
const hasChanges = Object.keys(editedConfig).length > 0
|
||||
{/* Safety Settings */}
|
||||
<div className="space-y-3">
|
||||
<p className="text-xs font-medium text-white">Safety Filters</p>
|
||||
{[
|
||||
{ key: 'safety_harassment', label: 'Harassment' },
|
||||
{ key: 'safety_hate_speech', label: 'Hate Speech' },
|
||||
{ key: 'safety_sexually_explicit', label: 'Sexually Explicit' },
|
||||
{ key: 'safety_dangerous', label: 'Dangerous Content' },
|
||||
].map(({ key, label }) => (
|
||||
<div key={key}>
|
||||
<label className="block text-xs text-lyria-muted mb-1">{label}</label>
|
||||
<select
|
||||
className="w-full bg-black/30 border border-white/10 rounded-md px-3 py-1.5 text-sm text-white focus:outline-none focus:border-lyria-accent"
|
||||
value={gen.getValue(key as keyof GenConfig)}
|
||||
onChange={(e) => gen.update(key, e.target.value)}
|
||||
>
|
||||
{SAFETY_OPTIONS.map((opt) => (
|
||||
<option key={opt.value} value={opt.value}>{opt.label}</option>
|
||||
))}
|
||||
</select>
|
||||
</div>
|
||||
))}
|
||||
</div>
|
||||
|
||||
{/* Save Button */}
|
||||
<div className="flex items-center gap-3 pt-2">
|
||||
<button
|
||||
onClick={gen.save}
|
||||
disabled={!gen.hasChanges || gen.saving}
|
||||
className="px-4 py-2 text-sm font-medium rounded-md transition-colors disabled:opacity-50 bg-lyria-accent text-black hover:bg-lyria-accent/90"
|
||||
>
|
||||
{gen.saving ? 'Saving...' : 'Save Changes'}
|
||||
</button>
|
||||
{gen.saveMessage && (
|
||||
<span className={`text-xs ${gen.saveMessage.includes('Failed') ? 'text-red-400' : 'text-green-400'}`}>
|
||||
{gen.saveMessage}
|
||||
</span>
|
||||
)}
|
||||
</div>
|
||||
<p className="text-xs text-lyria-muted/60">
|
||||
Changes apply immediately but reset on server restart. Set .env for persistence.
|
||||
</p>
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
)
|
||||
|
||||
return (
|
||||
<div className="fixed inset-0 z-50 flex items-center justify-center">
|
||||
@@ -162,99 +271,19 @@ export default function SettingsModal({ isOpen, onClose, onClearWaveforms, onDel
|
||||
|
||||
{/* Content */}
|
||||
<div className="px-6 py-5 space-y-6 overflow-y-auto">
|
||||
{/* Image Generation Settings */}
|
||||
<div className="border border-white/10 rounded-lg overflow-hidden">
|
||||
<button
|
||||
onClick={() => setShowImageGenSettings(!showImageGenSettings)}
|
||||
className="w-full flex items-center justify-between px-4 py-3 bg-white/5 hover:bg-white/10 transition-colors"
|
||||
>
|
||||
<div className="flex items-center gap-2">
|
||||
{/* Image Generation */}
|
||||
{renderGenSection('Image Generation', (
|
||||
<svg className="w-4 h-4 text-lyria-accent" fill="none" stroke="currentColor" viewBox="0 0 24 24">
|
||||
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M4 16l4.586-4.586a2 2 0 012.828 0L16 16m-2-2l1.586-1.586a2 2 0 012.828 0L20 14m-6-6h.01M6 20h12a2 2 0 002-2V6a2 2 0 00-2-2H6a2 2 0 00-2 2v12a2 2 0 002 2z" />
|
||||
</svg>
|
||||
<span className="text-sm font-medium text-white">Image Generation</span>
|
||||
</div>
|
||||
<svg
|
||||
className={`w-4 h-4 text-lyria-muted transition-transform ${showImageGenSettings ? 'rotate-180' : ''}`}
|
||||
fill="none"
|
||||
stroke="currentColor"
|
||||
viewBox="0 0 24 24"
|
||||
>
|
||||
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M19 9l-7 7-7-7" />
|
||||
), imageGen)}
|
||||
|
||||
{/* Text Generation */}
|
||||
{renderGenSection('Text Generation', (
|
||||
<svg className="w-4 h-4 text-lyria-accent" fill="none" stroke="currentColor" viewBox="0 0 24 24">
|
||||
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M8 10h.01M12 10h.01M16 10h.01M9 16H5a2 2 0 01-2-2V6a2 2 0 012-2h14a2 2 0 012 2v8a2 2 0 01-2 2h-5l-5 5v-5z" />
|
||||
</svg>
|
||||
</button>
|
||||
|
||||
{showImageGenSettings && (
|
||||
<div className="p-4 space-y-4">
|
||||
{/* Model Selection */}
|
||||
<div>
|
||||
<label className="block text-xs text-lyria-muted mb-1.5">Model</label>
|
||||
<select
|
||||
className="w-full bg-black/30 border border-white/10 rounded-md px-3 py-2 text-sm text-white focus:outline-none focus:border-lyria-accent"
|
||||
value={getConfigValue('model')}
|
||||
onChange={(e) => updateEditedConfig('model', e.target.value)}
|
||||
>
|
||||
{imageGenModels.map((model) => (
|
||||
<option key={model.id} value={model.id}>
|
||||
{model.name} ({model.status})
|
||||
</option>
|
||||
))}
|
||||
</select>
|
||||
</div>
|
||||
|
||||
{/* API Key Status */}
|
||||
<div className="flex items-center gap-2">
|
||||
<div className={`w-2 h-2 rounded-full ${imageGenConfig?.has_api_key ? 'bg-green-400' : 'bg-red-400'}`} />
|
||||
<span className="text-xs text-lyria-muted">
|
||||
{imageGenConfig?.has_api_key ? 'API key configured' : 'No API key — set IMAGE_GEN_API_KEY in .env'}
|
||||
</span>
|
||||
</div>
|
||||
|
||||
{/* Safety Settings */}
|
||||
<div className="space-y-3">
|
||||
<p className="text-xs font-medium text-white">Safety Filters</p>
|
||||
{[
|
||||
{ key: 'safety_harassment', label: 'Harassment' },
|
||||
{ key: 'safety_hate_speech', label: 'Hate Speech' },
|
||||
{ key: 'safety_sexually_explicit', label: 'Sexually Explicit' },
|
||||
{ key: 'safety_dangerous', label: 'Dangerous Content' },
|
||||
].map(({ key, label }) => (
|
||||
<div key={key}>
|
||||
<label className="block text-xs text-lyria-muted mb-1">{label}</label>
|
||||
<select
|
||||
className="w-full bg-black/30 border border-white/10 rounded-md px-3 py-1.5 text-sm text-white focus:outline-none focus:border-lyria-accent"
|
||||
value={getConfigValue(key as 'safety_harassment' | 'safety_hate_speech' | 'safety_sexually_explicit' | 'safety_dangerous')}
|
||||
onChange={(e) => updateEditedConfig(key, e.target.value)}
|
||||
>
|
||||
{SAFETY_OPTIONS.map((opt) => (
|
||||
<option key={opt.value} value={opt.value}>{opt.label}</option>
|
||||
))}
|
||||
</select>
|
||||
</div>
|
||||
))}
|
||||
</div>
|
||||
|
||||
{/* Save Button */}
|
||||
<div className="flex items-center gap-3 pt-2">
|
||||
<button
|
||||
onClick={handleSaveImageGenConfig}
|
||||
disabled={!hasChanges || saving}
|
||||
className="px-4 py-2 text-sm font-medium rounded-md transition-colors disabled:opacity-50 bg-lyria-accent text-black hover:bg-lyria-accent/90"
|
||||
>
|
||||
{saving ? 'Saving...' : 'Save Changes'}
|
||||
</button>
|
||||
{saveMessage && (
|
||||
<span className={`text-xs ${saveMessage.includes('Failed') ? 'text-red-400' : 'text-green-400'}`}>
|
||||
{saveMessage}
|
||||
</span>
|
||||
)}
|
||||
</div>
|
||||
<p className="text-xs text-lyria-muted/60">
|
||||
Changes apply immediately but reset on server restart. Set .env for persistence.
|
||||
</p>
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
), textGen)}
|
||||
|
||||
{/* Danger Zone */}
|
||||
<div className="border border-red-500/30 rounded-lg overflow-hidden">
|
||||
|
||||
@@ -0,0 +1,130 @@
|
||||
import { useState, useEffect } from 'react'
|
||||
|
||||
interface Props {
|
||||
isOpen: boolean
|
||||
onClose: () => void
|
||||
onSelect: (suggestion: string) => void
|
||||
userInput: string
|
||||
}
|
||||
|
||||
export default function SuggestionsModal({ isOpen, onClose, onSelect, userInput }: Props) {
|
||||
const [suggestions, setSuggestions] = useState<string[]>([])
|
||||
const [loading, setLoading] = useState(false)
|
||||
const [error, setError] = useState('')
|
||||
|
||||
const fetchSuggestions = async () => {
|
||||
if (!userInput.trim()) return
|
||||
setLoading(true)
|
||||
setError('')
|
||||
try {
|
||||
const res = await fetch('/api/text-gen/suggest', {
|
||||
method: 'POST',
|
||||
headers: { 'Content-Type': 'application/json' },
|
||||
body: JSON.stringify({ input: userInput }),
|
||||
})
|
||||
if (!res.ok) {
|
||||
const err = await res.json()
|
||||
throw new Error(err.detail || 'Failed to get suggestions')
|
||||
}
|
||||
const data = await res.json()
|
||||
setSuggestions(data.suggestions || [])
|
||||
} catch (e) {
|
||||
setError(e instanceof Error ? e.message : 'Failed to get suggestions')
|
||||
} finally {
|
||||
setLoading(false)
|
||||
}
|
||||
}
|
||||
|
||||
// Auto-fetch when opened
|
||||
useEffect(() => {
|
||||
if (isOpen && suggestions.length === 0 && !loading && !error) {
|
||||
fetchSuggestions()
|
||||
}
|
||||
}, [isOpen])
|
||||
|
||||
if (!isOpen) return null
|
||||
|
||||
return (
|
||||
<div className="fixed inset-0 z-50 flex items-center justify-center">
|
||||
<div
|
||||
className="absolute inset-0 bg-black/80 backdrop-blur-md"
|
||||
onClick={onClose}
|
||||
/>
|
||||
|
||||
<div className="relative bg-lyria-surface border border-white/10 rounded-xl shadow-2xl w-full max-w-lg mx-4 overflow-hidden max-h-[80vh] flex flex-col">
|
||||
{/* Header */}
|
||||
<div className="flex items-center justify-between px-6 py-4 border-b border-white/10 shrink-0">
|
||||
<div>
|
||||
<h2 className="text-lg font-semibold text-white">Prompt Suggestions</h2>
|
||||
<p className="text-xs text-lyria-muted mt-0.5 truncate max-w-[280px]">{userInput}</p>
|
||||
</div>
|
||||
<button
|
||||
onClick={onClose}
|
||||
className="text-lyria-muted hover:text-white transition-colors"
|
||||
>
|
||||
<svg className="w-5 h-5" fill="none" stroke="currentColor" viewBox="0 0 24 24">
|
||||
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M6 18L18 6M6 6l12 12" />
|
||||
</svg>
|
||||
</button>
|
||||
</div>
|
||||
|
||||
{/* Content */}
|
||||
<div className="px-6 py-5 overflow-y-auto">
|
||||
{loading && (
|
||||
<div className="flex items-center justify-center py-8">
|
||||
<svg className="animate-spin w-6 h-6 text-lyria-accent" fill="none" viewBox="0 0 24 24">
|
||||
<circle className="opacity-25" cx="12" cy="12" r="10" stroke="currentColor" strokeWidth="4" />
|
||||
<path className="opacity-75" fill="currentColor" d="M4 12a8 8 0 018-8V0C5.373 0 0 5.373 0 12h4zm2 5.291A7.962 7.962 0 014 12H0c0 3.042 1.135 5.824 3 7.938l3-2.647z" />
|
||||
</svg>
|
||||
</div>
|
||||
)}
|
||||
|
||||
{error && (
|
||||
<div className="bg-red-500/10 border border-red-500/20 rounded-lg p-4">
|
||||
<p className="text-sm text-red-400">{error}</p>
|
||||
<button
|
||||
onClick={fetchSuggestions}
|
||||
className="mt-2 text-xs text-lyria-accent hover:text-lyria-accent/80"
|
||||
>
|
||||
Try again
|
||||
</button>
|
||||
</div>
|
||||
)}
|
||||
|
||||
{!loading && !error && suggestions.length === 0 && (
|
||||
<div className="text-center py-8">
|
||||
<p className="text-sm text-lyria-muted">No suggestions yet. Click below to generate.</p>
|
||||
<button
|
||||
onClick={fetchSuggestions}
|
||||
className="mt-3 px-4 py-2 text-sm bg-lyria-accent text-black rounded-md hover:bg-lyria-accent/90"
|
||||
>
|
||||
Get Suggestions
|
||||
</button>
|
||||
</div>
|
||||
)}
|
||||
|
||||
<div className="space-y-3">
|
||||
{suggestions.map((suggestion, i) => (
|
||||
<button
|
||||
key={i}
|
||||
onClick={() => {
|
||||
onSelect(suggestion)
|
||||
onClose()
|
||||
}}
|
||||
className="w-full text-left p-4 bg-white/5 hover:bg-white/10 border border-white/5 hover:border-lyria-accent/30 rounded-lg transition-all group"
|
||||
>
|
||||
<div className="flex items-start gap-3">
|
||||
<span className="text-lyria-accent font-mono text-sm shrink-0">{i + 1}.</span>
|
||||
<p className="text-sm text-white/90 leading-relaxed">{suggestion}</p>
|
||||
</div>
|
||||
<div className="mt-2 text-xs text-lyria-accent opacity-0 group-hover:opacity-100 transition-opacity">
|
||||
Click to use this prompt →
|
||||
</div>
|
||||
</button>
|
||||
))}
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
)
|
||||
}
|
||||
Reference in new issue
Block a user