Locally provide echarts.js library

Works if offline

Project.toml

@@ -7,6 +7,7 @@ version = "0.8.0-DEV"
 AbstractTrees = "1520ce14-60c1-5f80-bbc7-55ef81b5835c"
 Combinatorics = "861a8166-3701-5b0c-9a16-15d98fcdc6aa"
 DeltaArrays = "10b0fc19-5ccc-4427-889b-d75dd6306188"
+ECharts_jll = "ffd69456-1935-58d2-abba-ba12e8909167"
 EinExprs = "b1794770-133b-4de1-afb4-526377e9f4c5"
 KeywordDispatch = "5888135b-5456-5c80-a1b6-c91ef8180460"
 LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
@@ -60,6 +61,7 @@ ChainRulesTestUtils = "1"
 Combinatorics = "1.0"
 Dagger = "0.18"
 DeltaArrays = "0.1.1"
+ECharts_jll = "5"
 EinExprs = "0.5, 0.6"
 FiniteDifferences = "0.12"
 GraphMakie = "0.4,0.5"

src/Visualization.jl

@@ -1,7 +1,5 @@
-# const echarts = read(joinpath(artifact"echarts", "node_modules", "echarts", "dist", "echarts.js"), String)
-const echarts_url = "https://cdn.jsdelivr.net/npm/echarts@5.5.1/dist/echarts.min.js"
+using ECharts_jll
 
-Base.show(io::IO, ::MIME"text/html", tn::AbstractTensorNetwork) = show(io, MIME"juliavscode/html", tn)
 function Base.show(io::IO, ::MIME"juliavscode/html", @nospecialize(tn::AbstractTensorNetwork))
     tn = transform(tn, Tenet.HyperFlatten)
     appid = gensym("tenet-graph")
@@ -12,7 +10,9 @@ function Base.show(io::IO, ::MIME"juliavscode/html", @nospecialize(tn::AbstractT
     return print(
         io,
         """
-            <script type="text/javascript" src="$echarts_url"></script>
+            <script type="text/javascript">$(
+                read(joinpath(dirname(ECharts_jll.echarts), "echarts.min.js"), String)
+            )</script>
             <div id="$appid" style="width: 600px; height: 600px;"></div>
             <script>
                 var chart = echarts.init(document.getElementById('$appid'));