- 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
36 lines
1.2 KiB
HTML
36 lines
1.2 KiB
HTML
{% extends "_layout.html" %}
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{% block title %}Train{% endblock %}
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{% block content %}
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<div class="page-head">
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<h2>Avvia training</h2>
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<div class="queue-info">Coda: <span id="queue-count">–</span></div>
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</div>
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<form id="train-form" class="form-row">
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<label>Modello<select name="model_id" id="f-model"></select></label>
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<label>Branch<select name="branch" id="f-branch"></select></label>
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<label>Commit<select name="patch" id="f-patch"></select></label>
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<label>Versione<input type="text" name="version" placeholder="1.0.0" required></label>
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<label>Dataset<select name="dataset_id" id="f-dataset"></select></label>
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<button type="submit" class="prominent">Avvia</button>
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</form>
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<section id="live-panel" class="hidden">
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<h3>Training <code id="live-id"></code> — <span id="live-status">queued</span></h3>
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<div class="charts">
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<canvas id="chart-loss"></canvas>
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<canvas id="chart-cpu"></canvas>
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</div>
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<pre id="live-logs" class="logs"></pre>
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</section>
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<section>
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<h3>Recenti</h3>
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<div id="recent-trainings" class="list"></div>
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</section>
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{% endblock %}
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{% block scripts %}
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<script src="https://cdn.jsdelivr.net/npm/chart.js"></script>
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<script src="/static/js/train.js"></script>
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{% endblock %}
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