Hello! Thanks 
I can’t share the whole code, but I can try to explain what I’m trying to do (I’m not a native english person, sorry for the mistakes and I hope you can understand)
First, I create two panels (two param classes). The first panel has two buttons (one button to update the second panel, other button to download the second panel) and the second panel contains the plotly graphs (the main content). I did that, because I didn’t want the buttons appeared in the exported html (with plotly graphs).
This is one piece of the first:
# Update button, this button update the second panel content
@param.depends("action")
def call_report(self):
# This values are from a ObjectSelector
if len(self.param["insertion_orders"].objects) == 1:
self.insertion_orders = self.param["insertion_orders"].objects[0]
self.Report.insertion_order = self.insertion_orders
self.Report.campaign_name = self.campaigns
self.Report.atd_details_filter = atd_details[
atd_details.insertion_order_number == self.insertion_orders
]
# Second panel content
self.report_panel = self.Report.view()
# This return is put in a pn.Row() function
return self.report_panel
# Download button, this button export the second panel to html
@param.depends("download")
def call_download(self):
if self.report_panel:
self.report_panel.save(
filename=f"download_reports/PI_{self.insertion_orders}.html",
resources=CDN,
embed=True,
)
return pn.pane.Markdown("Download success...")
else:
return pn.pane.Markdown("There's any report to download!")
Second, I run the code with panel serve main.py and the plotly graphs appeared perfectly, but when I try to save the output in a HTML file, the graphs doesn’t appeared 
I tested with bokeh backend and the output saved perfectly. It’s the same function, I just change the backend!
A example graph with plolty:
def _imps_device(self):
fig = go.Figure(
data=[
go.Pie(
labels=self.device_type_metrics.device_type,
values=self.device_type_metrics.imps.values,
)
]
)
fig.update_layout(
width=350,
height=250,
margin=dict(l=10, r=10, t=10, b=10, pad=2),
)
return pn.Column(
pn.Row(pn.pane.Markdown("##Device Impressions")),
pn.Row(
pn.pane.Plotly(fig, config={"responsive": True}), css_classes=["center"]
),
)
A example graph with bokeh:
def _imps_device(self):
fig = self.device_type_metrics.rename(
columns={"imps": "Impressions", "device_type": "Device"}
).plot_bokeh.pie(
y="Impressions",
x="Device",
show_figure=False,
figsize=(450, 350),
)
return pn.Column(
pn.Row(pn.pane.Markdown("##Device Impressions")),
pn.Row(pn.pane.Bokeh(fig), css_classes=["center"]),
)
Is it clearer now?
