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How to assign output for matplotlib images and text from tabs in dash

I am trying to learn dash in python with matplotlib images. Below is the code for 2 tabs. I am looking for following functionality:
One tabs generates an image and other tabs should display some text. But I am not able to show text because the output expects an image. How can I correct it ? Below is the code.

import numpy as np
from io import BytesIO
import base64
import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output

external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']
app = dash.Dash(__name__, external_stylesheets=external_stylesheets)

def fig_to_uri(in_fig, close_all=True, **save_args):
    Save a figure as a URI
    :param in_fig:
    out_img = BytesIO()
    in_fig.savefig(out_img, format='png', **save_args)
    if close_all:
    out_img.seek(0)  # rewind file
    encoded = base64.b64encode(out_img.read()).decode("ascii").replace("\n", "")
    return "data:image/png;base64,{}".format(encoded)

app.layout = html.Div([
    html.H1(children='Market analysis',
            style={'textAlign': 'center'}

    dcc.Tabs(id='tabs-example', value='tab-1',
                 dcc.Tab(label='Daily Returns', value='tab-1'),
                 dcc.Tab(label='Hourly Returns', value='tab-2')
    html.Div([html.Img(id='tabs-example-content', src='')]),

@app.callback(Output('tabs-example-content', component_property='src'),
              [Input('tabs-example', 'value')])
def render_content(value):
    if value=='tab-1':
        fig, ax1 = plt.subplots(1, 1)
        ax1.matshow(np.random.uniform(-1, 1, size=(2, 4)))
        out_url = fig_to_uri(fig)
        return out_url
    elif value == 'tab-2':
        return html.Div([html.H3('Tab content 2')])

if __name__ == '__main__':