feat: Add new API endpoints and HTML pages for ML model management
- Implemented HTML pages for datasets, models, training, testing, and results. - Created API endpoints for managing repositories, results, tests, and training sessions. - Added functionality for streaming training progress via Server-Sent Events (SSE). - Introduced a Dockerfile for the ML runner with necessary dependencies. - Developed an SDK for user code execution within the runner container. - Enhanced CSS styles for improved UI layout and navigation. - Established a layout template for consistent HTML structure across pages. - Added JavaScript for dynamic interactions on the models page. - Implemented WebSocket handling for real-time communication with kiosk devices and controllers. - Implemented model registration and management API at /api/models - Added Gitea proxy API for repository interactions at /api/repos - Created results API for listing and comparing training results at /api/results - Developed training management API for enqueueing and retrieving training jobs at /api/trainings - Introduced SSE endpoint for live training progress updates - Added HTML pages for models, datasets, and training management - Created a Dockerfile for the ML runner with necessary dependencies - Developed SDK for user code execution within the runner container - Enhanced CSS styles for improved UI/UX - Implemented WebSocket communication for real-time device and controller interactions in the kiosk system
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{% extends "_layout.html" %}
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{% block title %}Datasets{% endblock %}
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{% block content %}
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<div class="page-head">
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<h2>Datasets</h2>
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<button class="prominent" id="btn-upload">+ Carica CSV</button>
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</div>
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<div id="datasets-list" class="list"></div>
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<dialog id="upload-dlg">
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<form id="upload-form" method="dialog">
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<h3>Carica dataset</h3>
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<label>Nome<input type="text" name="nome" required></label>
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<label>Tipo
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<select name="dataset_type">
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<option value="custom">custom</option>
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<option value="imported">imported</option>
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</select>
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</label>
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<label>Formato
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<select name="format">
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<option value="csv">csv</option>
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<option value="json">json</option>
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</select>
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</label>
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<label>Tags (virgola)<input type="text" name="tags"></label>
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<label>Descrizione<textarea name="description"></textarea></label>
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<label>File<input type="file" name="file" required></label>
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<menu>
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<button type="button" id="upload-cancel">Annulla</button>
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<button type="submit" class="prominent">Carica</button>
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</menu>
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</form>
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</dialog>
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{% endblock %}
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{% block scripts %}
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<script src="/static/js/datasets.js"></script>
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{% endblock %}
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