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const DEFAULT_PROMPT =
"Analyze this full song and provide concise, timestamped sections describing vocals, instrumentation, production effects, mix changes, energy flow, and genre cues. End with a short overall summary.";
export default function App() {
const [mode, setMode] = useState("path");
const [audioPath, setAudioPath] = useState("E:\\Coding\\hf-music-gen\\train-dataset\\Andrew Spacey - Wonder (Prod Beat It AT).mp3");
const [audioFile, setAudioFile] = useState(null);
const [backend, setBackend] = useState("hf_endpoint");
const [endpointUrl, setEndpointUrl] = useState("");
const [hfToken, setHfToken] = useState("");
const [modelId, setModelId] = useState("nvidia/audio-flamingo-3-hf");
const [openAiApiKey, setOpenAiApiKey] = useState("");
const [openAiModel, setOpenAiModel] = useState("gpt-5-mini");
const [prompt, setPrompt] = useState(DEFAULT_PROMPT);
const [userContext, setUserContext] = useState("");
const [artistName, setArtistName] = useState("");
const [trackName, setTrackName] = useState("");
const [enableWebSearch, setEnableWebSearch] = useState(false);
const [loading, setLoading] = useState(false);
const [error, setError] = useState("");
const [result, setResult] = useState(null);
useEffect(() => {
let mounted = true;
fetch("/api/config")
.then((r) => r.json())
.then((data) => {
if (!mounted) return;
const d = data?.defaults || {};
if (d.backend) setBackend(d.backend);
if (d.endpoint_url) setEndpointUrl(d.endpoint_url);
if (d.model_id) setModelId(d.model_id);
if (d.openai_model) setOpenAiModel(d.openai_model);
if (d.af3_prompt) setPrompt(d.af3_prompt);
})
.catch(() => {});
return () => {
mounted = false;
};
}, []);
const requestPreview = useMemo(() => {
return {
backend,
endpoint_url: endpointUrl || "(env default)",
model_id: modelId,
openai_model: openAiModel,
enable_web_search: enableWebSearch,
artist_name: artistName || "(none)",
track_name: trackName || "(none)",
};
}, [backend, endpointUrl, modelId, openAiModel, enableWebSearch, artistName, trackName]);
async function runPipeline() {
setLoading(true);
setError("");
setResult(null);
try {
let response;
if (mode === "path") {
response = await fetch("/api/pipeline/run-path", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({
audio_path: audioPath,
backend,
endpoint_url: endpointUrl,
hf_token: hfToken,
model_id: modelId,
af3_prompt: prompt,
openai_api_key: openAiApiKey,
openai_model: openAiModel,
user_context: userContext,
artist_name: artistName,
track_name: trackName,
enable_web_search: enableWebSearch,
}),
});
} else {
if (!audioFile) {
throw new Error("Select an audio file first.");
}
const form = new FormData();
form.append("audio_file", audioFile);
form.append("backend", backend);
form.append("endpoint_url", endpointUrl);
form.append("hf_token", hfToken);
form.append("model_id", modelId);
form.append("af3_prompt", prompt);
form.append("openai_api_key", openAiApiKey);
form.append("openai_model", openAiModel);
form.append("user_context", userContext);
form.append("artist_name", artistName);
form.append("track_name", trackName);
form.append("enable_web_search", String(enableWebSearch));
response = await fetch("/api/pipeline/run-upload", {
method: "POST",
body: form,
});
}
const data = await response.json();
if (!response.ok) {
const detail = typeof data?.detail === "string" ? data.detail : JSON.stringify(data);
throw new Error(detail);
}
setResult(data);
} catch (err) {
setError(err.message || String(err));
} finally {
setLoading(false);
}
}
return (
<div className="page">
<div className="hero">
<h1>AF3 + ChatGPT Pipeline</h1>
<p>Run Audio Flamingo 3 analysis, then clean/structure for Ace Step 1.5 LoRA metadata.</p>
</div>
<div className="grid">
<section className="card">
<h2>Inputs</h2>
<div className="row">
<label>Mode</label>
<select value={mode} onChange={(e) => setMode(e.target.value)}>
<option value="path">Local Path</option>
<option value="upload">Upload</option>
</select>
</div>
{mode === "path" ? (
<div className="row">
<label>Audio Path</label>
<input value={audioPath} onChange={(e) => setAudioPath(e.target.value)} />
</div>
) : (
<div className="row">
<label>Audio File</label>
<input type="file" accept="audio/*" onChange={(e) => setAudioFile(e.target.files?.[0] || null)} />
</div>
)}
<div className="row">
<label>AF3 Backend</label>
<select value={backend} onChange={(e) => setBackend(e.target.value)}>
<option value="hf_endpoint">HF Endpoint</option>
<option value="local">Local Model</option>
</select>
</div>
<div className="row">
<label>AF3 Endpoint URL</label>
<input value={endpointUrl} onChange={(e) => setEndpointUrl(e.target.value)} placeholder="https://..." />
</div>
<div className="row">
<label>HF Token (optional)</label>
<input type="password" value={hfToken} onChange={(e) => setHfToken(e.target.value)} />
</div>
<div className="row">
<label>AF3 Model ID</label>
<input value={modelId} onChange={(e) => setModelId(e.target.value)} />
</div>
<div className="row">
<label>OpenAI API Key (optional)</label>
<input type="password" value={openAiApiKey} onChange={(e) => setOpenAiApiKey(e.target.value)} />
</div>
<div className="row">
<label>OpenAI Model</label>
<input value={openAiModel} onChange={(e) => setOpenAiModel(e.target.value)} />
</div>
<div className="row">
<label>Artist (optional)</label>
<input value={artistName} onChange={(e) => setArtistName(e.target.value)} />
</div>
<div className="row">
<label>Track (optional)</label>
<input value={trackName} onChange={(e) => setTrackName(e.target.value)} />
</div>
<div className="row">
<label>Prompt</label>
<textarea rows={5} value={prompt} onChange={(e) => setPrompt(e.target.value)} />
</div>
<div className="row">
<label>User Context</label>
<textarea rows={4} value={userContext} onChange={(e) => setUserContext(e.target.value)} />
</div>
<div className="row inline">
<input
id="websearch"
type="checkbox"
checked={enableWebSearch}
onChange={(e) => setEnableWebSearch(e.target.checked)}
/>
<label htmlFor="websearch">Enable ChatGPT web search (optional)</label>
</div>
<button className="run" disabled={loading} onClick={runPipeline}>
{loading ? "Running..." : "Run Pipeline"}
</button>
</section>
<section className="card">
<h2>Request Summary</h2>
<pre>{JSON.stringify(requestPreview, null, 2)}</pre>
{error ? <p className="error">{error}</p> : null}
{result ? (
<>
<h3>Saved Sidecar</h3>
<p className="mono">{result.saved_to}</p>
<h3>AF3 Analysis</h3>
<pre>{result.af3_analysis}</pre>
<h3>Final LoRA JSON</h3>
<pre>{JSON.stringify(result.sidecar, null, 2)}</pre>
</>
) : null}
</section>
</div>
</div>
);
}
|