diff --git a/tf-graph/tf-graph-basic.build.html b/tf-graph/tf-graph-basic.build.html
index 786d07a..e860c58 100644
--- a/tf-graph/tf-graph-basic.build.html
+++ b/tf-graph/tf-graph-basic.build.html
@@ -1053,4 +1053,13 @@ <h2>[[title]]</h2>
 </template>
 </dom-module>
 
-<script src="tf-graph-basic.build.js"></script></body></html>
+<script src="tf-graph-basic.build.js"></script>
+<div style="height:600px">
+  <tf-graph-basic id="custom-graph"></tf-graph-basic>
+</div>
+<script>
+window.onload = (event)=>{
+  document.getElementById("custom-graph").pbtxt = atob(decodeURI(window.location.hash.substr(1)));
+}
+</script>
+</body></html>
diff --git a/tf-graph/tf-graph-basic.build.js b/tf-graph/tf-graph-basic.build.js
index b7168ae..43e0da9 100644
--- a/tf-graph/tf-graph-basic.build.js
+++ b/tf-graph/tf-graph-basic.build.js
@@ -38447,7 +38447,7 @@ return this.disabled || !this.required || this.required && this.value;
 Polymer({
 is: 'tf-graph-controls',
 ready: function () {
-d3.select(this.$['summary-icon']).attr('xlink:href', '/files/tf-graph/summary-icon.svg');
+d3.select(this.$['summary-icon']).attr('xlink:href', 'summary-icon.svg');
 },
 properties: {
 hasStats: { type: Boolean },
diff --git a/tfutils.py b/tfutils.py
index a436495..4a4990f 100644
--- a/tfutils.py
+++ b/tfutils.py
@@ -1,12 +1,14 @@
 import tensorflow as tf
+from tensorflow.core.framework import graph_pb2
 import numpy as np
+from base64 import b64encode
 from IPython.display import clear_output, Image, display, HTML
 
 def graph_as_HTML(graph_def, baseURL=''):
     # Helper functions for TF Graph visualization
     def _strip_consts(graph_def, max_const_size=32):
         """Strip large constant values from graph_def."""
-        strip_def = tf.GraphDef()
+        strip_def = graph_pb2.GraphDef()
         for n0 in graph_def.node:
             n = strip_def.node.add()
             n.MergeFrom(n0)
@@ -31,24 +33,13 @@ def _show_entire_graph(graph_def, max_const_size=32):
         """Visualize TensorFlow graph."""
         if hasattr(graph_def, 'as_graph_def'):
             graph_def = graph_def.as_graph_def()
-        strip_def = _strip_consts(graph_def, max_const_size=max_const_size)
-        code = """
-            <script>
-              function load() {{
-                document.getElementById("{id}").pbtxt = {data};
-              }}
-            </script>
-            <link rel="import" href="{baseURL}/files/tf-graph/tf-graph-basic.build.html" onload=load()>
-            <div style="height:600px">
-              <tf-graph-basic id="{id}"></tf-graph-basic>
-            </div>
-        """.format(data=repr(str(strip_def)), id='graph' + str(np.random.rand()), baseURL=baseURL)
-
-        iframe = """
-            <iframe seamless style="width:800px;height:620px;border:0" srcdoc="{}"></iframe>
-        """.format(code.replace('"', '&quot;'))
-
-        return iframe
+        strip_def = strip_consts(graph_def, max_const_size=max_const_size)
+        data =  b64encode(str(strip_def).encode()).decode()
+        id = str(np.random.rand())
+        page = "https://raw.githack.com/AnotherGroupChat/Machine-Learning/dmadisetti-patch-1/tf-graph/tf-graph-basic.build.html"
+        return f"""
+        <iframe id="frame-graph-{id}" seamless src='{page}#{data}' style="width:100%;height:620px;border:0"></iframe>
+        """
 
     # Visualizing the network graph. Be sure expand the "mixed" nodes to see their
     # internal structure. We are going to visualize "Conv2D" nodes.