Stock Example Stuck Loading

[JKatsenelinboigen]

I am using python 3.8.3 on Windows 10. All dependencies are fully up to date.

I copied Example 2's code making only necessary changes, but the chart is stuck loading when i run my web app.

The same is the case when i run the second example on the dataspyre documentation found here:
https://dataspyre.readthedocs.io/en/latest/getting_started.html#example-2-tabs-and-tables

The first example runs fine

Here is my code, the only changes i made are from urllib.request import urlopen and result = urllib.urlopen(api_url).read() as i am on python 3.8.3
`
from spyre import server

import pandas as pd
from urllib.request import urlopen
import json

class StockExample(server.App):
title = "Historical Stock Prices"

inputs = [{        "type":'dropdown',
                "label": 'Company',
                "options" : [ {"label": "Google", "value":"GOOG"},
                              {"label": "Yahoo", "value":"YHOO"},
                              {"label": "Apple", "value":"AAPL"}],
                "key": 'ticker',
                "action_id": "update_data"}]

controls = [{    "type" : "hidden",
                "id" : "update_data"}]

tabs = ["Plot", "Table"]

outputs = [{ "type" : "plot",
                "id" : "plot",
                "control_id" : "update_data",
                "tab" : "Plot"},
            { "type" : "table",
                "id" : "table_id",
                "control_id" : "update_data",
                "tab" : "Table",
                "on_page_load" : True }]

def getData(self, params):
    ticker = params['ticker']
    # make call to yahoo finance api to get historical stock data
    api_url = 'https://chartapi.finance.yahoo.com/instrument/1.0/{}/chartdata;type=quote;range=3m/json'.format(ticker)
    result = urllib.urlopen(api_url).read()
    data = json.loads(result.replace('finance_charts_json_callback( ','')[:-1])  # strip away the javascript and load json
    self.company_name = data['meta']['Company-Name']
    df = pd.DataFrame.from_records(data['series'])
    df['Date'] = pd.to_datetime(df['Date'],format='%Y%m%d')
    return df

def getPlot(self, params):
    df = self.getData(params).set_index('Date').drop(['volume'],axis=1)
    plt_obj = df.plot()
    plt_obj.set_ylabel("Price")
    plt_obj.set_title(self.company_name)
    fig = plt_obj.get_figure()
    return fig

app = StockExample()
app.launch(port=9093)`

Any help with this would be appreciated, thank you