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visual enhancements
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@mudler
mudler committed Jul 8, 2024
1 parent ea40097 commit 0a98a8e
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14 changes: 5 additions & 9 deletions core/http/elements/gallery.go
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Original file line number Diff line number Diff line change
Expand Up @@ -155,28 +155,24 @@ func P2PNodeBoxes(nodes []p2p.NodeData) string {
nodesElements = append(nodesElements,
elem.Div(
attrs.Props{
"class": "bg-gray-800 p-4 rounded-lg shadow-lg text-left",
"class": "bg-gray-700 p-6 rounded-lg shadow-lg text-left",
},
elem.Div(
elem.P(
attrs.Props{
"class": "flex items-center mb-2",
"class": "text-sm text-gray-400 mt-2 flex",
},
elem.I(
attrs.Props{
"class": "fas fa-desktop text-gray-400 mr-2",
},
),
elem.Text("Name: "),
elem.Span(
attrs.Props{
"class": "text-gray-200 font-semibold",
"class": "text-gray-200 font-semibold ml-2 mr-1",
},
elem.Text(n.ID),
),
),
elem.P(
attrs.Props{
"class": "text-sm text-gray-400 mt-2 flex items-center",
},
elem.Text("Status: "),
elem.If(
n.IsOnline(),
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105 changes: 59 additions & 46 deletions core/http/views/p2p.html
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Original file line number Diff line number Diff line change
Expand Up @@ -7,8 +7,8 @@

{{template "views/partials/navbar" .}}
<div class="container mx-auto px-4 flex-grow">

<div class="workers mt-12 text-center">

<h2 class="text-3xl font-semibold text-gray-100 mb-8">
<i class="fa-solid fa-circle-nodes"></i> Distributed inference with P2P
<a href="https://localai.io/features/distribute/" target="_blank">
Expand All @@ -17,53 +17,20 @@ <h2 class="text-3xl font-semibold text-gray-100 mb-8">
</h2>
<h5 class="mb-4 text-justify">LocalAI uses P2P technologies to enable distribution of work between peers. It is possible to share an instance with Federation and/or split the weights of a model across peers (only available with llama.cpp models). You can now share computational resources between your devices or your friends!</h5>

<!-- Tabs for Instructions -->
<!-- Federation Box -->
<div class="bg-gray-800 p-6 rounded-lg shadow-lg mb-12 text-left">
<h3 class="text-2xl font-semibold text-gray-100 mb-6"><i class="fa-solid fa-book"></i> Start a new llama.cpp P2P worker</h3>
<p class="mb-4">You can start llama.cpp workers to distribute weights between the workers and offload part of the computation. To start a new worker, you can use the CLI or Docker.</p>

<!-- Tabs navigation -->
<ul class="mb-5 flex list-none flex-row flex-wrap ps-0" role="tablist" data-twe-nav-ref>
<li role="presentation" class="flex-auto text-center">
<a href="#tabs-cli" class="tablink my-2 block border-0 bg-gray-800 px-7 pb-3.5 pt-4 text-xs font-medium uppercase leading-tight text-white hover:bg-gray-700 focus:bg-gray-700 data-[twe-nav-active]:border-yellow-500 data-[twe-nav-active]:text-yellow-500 data-[twe-nav-active]:bg-gray-700 active" data-twe-toggle="pill" data-twe-target="#tabs-cli" data-twe-nav-active role="tab" aria-controls="tabs-cli" aria-selected="true"><i class="fa-solid fa-terminal"></i> CLI</a>
</li>
<li role="presentation" class="flex-auto text-center">
<a href="#tabs-docker" class="tablink my-2 block border-0 bg-gray-800 px-7 pb-3.5 pt-4 text-xs font-medium uppercase leading-tight text-white hover:bg-gray-700 focus:bg-gray-700 data-[twe-nav-active]:border-yellow-500 data-[twe-nav-active]:text-yellow-500 data-[twe-nav-active]:bg-gray-700" data-twe-toggle="pill" data-twe-target="#tabs-docker" role="tab" aria-controls="tabs-docker" aria-selected="false"><i class="fa-solid fa-box-open"></i> Container images</a>
</li>
</ul>

<!-- Tabs content -->
<div class="mb-6">
<div class="tabcontent hidden opacity-100 transition-opacity duration-150 ease-linear data-[twe-tab-active]:block p-4" id="tabs-cli" role="tabpanel" aria-labelledby="tabs-cli" data-twe-tab-active>
<p class="mb-2">To start a new worker, run the following command:</p>
<code class="block bg-gray-700 text-yellow-300 p-4 rounded-lg break-words">
export TOKEN="<span class="token">{{.P2PToken}}</span>"<br>
local-ai worker p2p-llama-cpp-rpc
</code>

<p class="mt-2">For all the options available, please refer to the <a href="https://localai.io/features/distribute/#starting-workers" target="_blank" class="text-yellow-300 hover:text-yellow-400">documentation</a>.</p>
</div>
<div class="tabcontent hidden opacity-0 transition-opacity duration-150 ease-linear data-[twe-tab-active]:block p-4" id="tabs-docker" role="tabpanel" aria-labelledby="tabs-docker">
<p class="mb-2">To start a new worker with docker, run the following command:</p>
<code class="block bg-gray-700 text-yellow-300 p-4 rounded-lg break-words">
docker run -ti --net host -e TOKEN="<span class="token">{{.P2PToken}}</span>" --name local-ai -p 8080:8080 localai/localai:latest-cpu worker p2p-llama-cpp-rpc
</code>
<p class="text-xl font-semibold text-gray-200"> <i class="text-gray-200 fa-solid fa-circle-nodes"></i> Federated Nodes: <span hx-get="/p2p/ui/workers-federation-stats" hx-trigger="every 1s"></span> </p>
<p class="mb-4">You can start LocalAI in federated mode to share your instance, or start the federated server to balance requests between nodes of the federation.</p>

<p class="mt-2">For all the options available and see what image to use, please refer to the <a href="https://localai.io/basics/container/" target="_blank" class="text-yellow-300 hover:text-yellow-400">Container images documentation</a> and <a href="https://localai.io/advanced/#cli-parameters" target="_blank" class="text-yellow-300 hover:text-yellow-400">CLI parameters documentation</a>.</p>
</div>
<div class="grid grid-cols-1 sm:grid-cols-2 md:grid-cols-3 gap-4 mb-12">
<div hx-get="/p2p/ui/workers-federation" hx-trigger="every 1s"></div>
</div>
</div>

<p class="text-xl font-semibold text-gray-200"> <i class="text-gray-200 fa-solid fa-circle-nodes"></i> Workers (llama.cpp): <span hx-get="/p2p/ui/workers-stats" hx-trigger="every 1s"></span> </p>
<div class="grid grid-cols-1 sm:grid-cols-2 md:grid-cols-3 gap-4 mb-12">
<div hx-get="/p2p/ui/workers" hx-trigger="every 1s"></div>
</div>

<hr class="border-gray-700 mb-12">
<hr class="border-gray-700 mb-12">

<div class="bg-gray-800 p-6 rounded-lg shadow-lg mb-12 text-left">
<h3 class="text-2xl font-semibold text-gray-100 mb-6"><i class="fa-solid fa-book"></i> Start a federated instance</h3>
<p class="mb-4">You can start LocalAI in federated mode to share your instance, or start the federated server to balance requests between nodes of the federation.</p>


<!-- Tabs navigation -->
<ul class="mb-5 flex list-none flex-row flex-wrap ps-0" role="tablist" data-twe-nav-ref>
Expand All @@ -77,14 +44,18 @@ <h3 class="text-2xl font-semibold text-gray-100 mb-6"><i class="fa-solid fa-book

<!-- Tabs content -->
<div class="mb-6">

<div class="tabcontent hidden opacity-100 transition-opacity duration-150 ease-linear data-[twe-tab-active]:block p-4" id="tabs-federated-cli" role="tabpanel" aria-labelledby="tabs-federated-cli" data-twe-tab-active>
<p class="mb-2">To start a new federated instance:</p>


<p class="mb-2">To start a new instance to share:</p>
<code class="block bg-gray-700 text-yellow-300 p-4 rounded-lg break-words">
# Start a new instance to share with --federated and a TOKEN<br>
export TOKEN="<span class="token">{{.P2PToken}}</span>"<br>
local-ai run --federated --p2p
</code>

<p class="mt-2">Note: If you don't have a token do not specify it and use the generated one that you can find in this page afterwards.</p>
<p class="mt-2">Note: If you don't have a token do not specify it and use the generated one that you can find in this page.</p>

<p class="mb-2">To start a new federated load balancer:</p>
<code class="block bg-gray-700 text-yellow-300 p-4 rounded-lg break-words">
Expand Down Expand Up @@ -112,10 +83,52 @@ <h3 class="text-2xl font-semibold text-gray-100 mb-6"><i class="fa-solid fa-book
</div>
</div>

<p class="text-xl font-semibold text-gray-200"> <i class="text-gray-200 fa-solid fa-circle-nodes"></i> Federated Nodes: <span hx-get="/p2p/ui/workers-federation-stats" hx-trigger="every 1s"></span> </p>
<div class="grid grid-cols-1 sm:grid-cols-2 md:grid-cols-3 gap-4 mb-12">
<div hx-get="/p2p/ui/workers-federation" hx-trigger="every 1s"></div>
<!-- Llama.cpp Box -->

<div class="bg-gray-800 p-6 rounded-lg shadow-lg mb-12 text-left">

<p class="text-xl font-semibold text-gray-200"> <i class="text-gray-200 fa-solid fa-circle-nodes"></i> Workers (llama.cpp): <span hx-get="/p2p/ui/workers-stats" hx-trigger="every 1s"></span> </p>
<p class="mb-4">You can start llama.cpp workers to distribute weights between the workers and offload part of the computation. To start a new worker, you can use the CLI or Docker.</p>

<div class="grid grid-cols-1 sm:grid-cols-2 md:grid-cols-3 gap-4 mb-12">
<div hx-get="/p2p/ui/workers" hx-trigger="every 1s"></div>
</div>
<hr class="border-gray-700 mb-12">

<h3 class="text-2xl font-semibold text-gray-100 mb-6"><i class="fa-solid fa-book"></i> Start a new llama.cpp P2P worker</h3>

<!-- Tabs navigation -->
<ul class="mb-5 flex list-none flex-row flex-wrap ps-0" role="tablist" data-twe-nav-ref>
<li role="presentation" class="flex-auto text-center">
<a href="#tabs-cli" class="tablink my-2 block border-0 bg-gray-800 px-7 pb-3.5 pt-4 text-xs font-medium uppercase leading-tight text-white hover:bg-gray-700 focus:bg-gray-700 data-[twe-nav-active]:border-yellow-500 data-[twe-nav-active]:text-yellow-500 data-[twe-nav-active]:bg-gray-700 active" data-twe-toggle="pill" data-twe-target="#tabs-cli" data-twe-nav-active role="tab" aria-controls="tabs-cli" aria-selected="true"><i class="fa-solid fa-terminal"></i> CLI</a>
</li>
<li role="presentation" class="flex-auto text-center">
<a href="#tabs-docker" class="tablink my-2 block border-0 bg-gray-800 px-7 pb-3.5 pt-4 text-xs font-medium uppercase leading-tight text-white hover:bg-gray-700 focus:bg-gray-700 data-[twe-nav-active]:border-yellow-500 data-[twe-nav-active]:text-yellow-500 data-[twe-nav-active]:bg-gray-700" data-twe-toggle="pill" data-twe-target="#tabs-docker" role="tab" aria-controls="tabs-docker" aria-selected="false"><i class="fa-solid fa-box-open"></i> Container images</a>
</li>
</ul>

<!-- Tabs content -->
<div class="mb-6">
<div class="tabcontent hidden opacity-100 transition-opacity duration-150 ease-linear data-[twe-tab-active]:block p-4" id="tabs-cli" role="tabpanel" aria-labelledby="tabs-cli" data-twe-tab-active>
<p class="mb-2">To start a new worker, run the following command:</p>
<code class="block bg-gray-700 text-yellow-300 p-4 rounded-lg break-words">
export TOKEN="<span class="token">{{.P2PToken}}</span>"<br>
local-ai worker p2p-llama-cpp-rpc
</code>

<p class="mt-2">For all the options available, please refer to the <a href="https://localai.io/features/distribute/#starting-workers" target="_blank" class="text-yellow-300 hover:text-yellow-400">documentation</a>.</p>
</div>
<div class="tabcontent hidden opacity-0 transition-opacity duration-150 ease-linear data-[twe-tab-active]:block p-4" id="tabs-docker" role="tabpanel" aria-labelledby="tabs-docker">
<p class="mb-2">To start a new worker with docker, run the following command:</p>
<code class="block bg-gray-700 text-yellow-300 p-4 rounded-lg break-words">
docker run -ti --net host -e TOKEN="<span class="token">{{.P2PToken}}</span>" --name local-ai -p 8080:8080 localai/localai:latest-cpu worker p2p-llama-cpp-rpc
</code>

<p class="mt-2">For all the options available and see what image to use, please refer to the <a href="https://localai.io/basics/container/" target="_blank" class="text-yellow-300 hover:text-yellow-400">Container images documentation</a> and <a href="https://localai.io/advanced/#cli-parameters" target="_blank" class="text-yellow-300 hover:text-yellow-400">CLI parameters documentation</a>.</p>
</div>
</div>
</div>
<!-- Llama.cpp Box END -->
</div>
</div>

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