32a73b02f5
Replaces old list-format tags (which duplicated prompt content) with structured dict tags per category (origin_series, outfit_type, participants, style_type, scene_type, etc.). Tags are now purely organizational metadata — removed from the prompt pipeline entirely. Adds is_favourite and is_nsfw columns to all 8 resource models. Favourite is DB-only (user preference); NSFW is mirrored in JSON tags for rescan persistence. All library pages get filter controls and favourites-first sorting. Introduces a parallel LLM job queue (_enqueue_task + _llm_queue_worker) for background tag regeneration, with the same status polling UI as ComfyUI jobs. Fixes call_llm() to use has_request_context() fallback for background threads. Adds global search (/search) across resources and gallery images, with navbar search bar. Adds gallery image sidecar JSON for per-image favourite/NSFW metadata. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
75 lines
3.9 KiB
HTML
75 lines
3.9 KiB
HTML
{% extends "layout.html" %}
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{% block content %}
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<div class="container">
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<div class="row justify-content-center">
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<div class="col-md-8">
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<div class="card">
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<div class="card-header bg-success text-white">Create New Action</div>
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<div class="card-body">
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<form action="{{ url_for('create_action') }}" method="post">
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<div class="mb-3">
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<label for="name" class="form-label">Action Name</label>
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<input type="text" class="form-control" id="name" name="name" placeholder="e.g. Belly Dancing" value="{{ form_data.get('name', '') }}" required>
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</div>
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<div class="mb-3">
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<label for="filename" class="form-label">Filename (Slug) <small class="text-muted">- optional, auto-generated if empty</small></label>
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<input type="text" class="form-control" id="filename" name="filename" placeholder="e.g. belly_dancing" value="{{ form_data.get('filename', '') }}">
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<div class="form-text">Used for the JSON file and URL. No spaces or special characters. Auto-generated from name if left empty.</div>
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</div>
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<div class="mb-3 form-check form-switch">
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<input class="form-check-input" type="checkbox" id="use_llm" name="use_llm" {{ 'checked' if form_data.get('use_llm', True) }}>
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<label class="form-check-label" for="use_llm">Use AI to generate profile from description</label>
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</div>
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<div class="mb-3" id="prompt-group">
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<label for="prompt" class="form-label">Description / Concept</label>
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<textarea class="form-control" id="prompt" name="prompt" rows="5" placeholder="Describe the action, pose, or movement. The AI will generate the full action profile based on this.">{{ form_data.get('prompt', '') }}</textarea>
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<div class="form-text">Required when AI generation is enabled.</div>
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</div>
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<div class="alert alert-info" id="ai-info">
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<i class="bi bi-info-circle"></i> The AI will generate a complete action profile with pose details and tags based on your description.
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</div>
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<div class="alert alert-secondary d-none" id="manual-info">
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<i class="bi bi-info-circle"></i> A blank action profile will be created. You can edit it afterwards to add details.
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</div>
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<div class="d-grid">
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<button type="submit" class="btn btn-success btn-lg" id="submit-btn">Create & Generate</button>
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</div>
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</form>
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</div>
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</div>
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</div>
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</div>
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</div>
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<script>
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document.getElementById('use_llm').addEventListener('change', function() {
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const promptGroup = document.getElementById('prompt-group');
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const aiInfo = document.getElementById('ai-info');
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const manualInfo = document.getElementById('manual-info');
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const submitBtn = document.getElementById('submit-btn');
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const promptInput = document.getElementById('prompt');
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if (this.checked) {
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promptGroup.classList.remove('d-none');
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aiInfo.classList.remove('d-none');
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manualInfo.classList.add('d-none');
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submitBtn.textContent = 'Create & Generate';
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promptInput.required = true;
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} else {
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promptGroup.classList.add('d-none');
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aiInfo.classList.add('d-none');
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manualInfo.classList.remove('d-none');
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submitBtn.textContent = 'Create Action';
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promptInput.required = false;
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}
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});
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</script>
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{% endblock %}
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