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Dropdown menu to choose dataset to plot

Hi,
I have dcc.Upload successfully working but would like to also have a dropdown menu with datasets that the user can also use. The end goal would be that selecting the dropdown will result in that dataset to be plotted. I have written some code for it and when I run it there is no error however the graph doesn’t populate. I am a bit unsure of how to proceed so any help would be appreciated. My code is below:

import base64
import io
import dash
from dash.dependencies import Input, Output, State
import dash_core_components as dcc
import dash_html_components as html
import pandas as pd
import plotly.express as px
import flask

df1 = pd.read_csv('/Users/mythilisutharson/documents/cam_work/explorer_data/AAML_Oxygen_Data.csv')
df2 = pd.read_csv('/Users/mythilisutharson/documents/cam_work/explorer_data/CH4_GCMC_Data.csv')

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

app.layout = html.Div([
    html.Div([dcc.Upload(
        id='data-table-upload',
        children=html.Div(['Drag and Drop or ',
                           html.A('Select Files')
                           ]),
        style={
            'width': '70%',
            'height': '60px',
            'lineHeight': '60px',
            'borderWidth': '1px',
            'borderStyle': 'dashed',
            'borderRadius': '5px',
            'textAlign': 'center',
            'margin': '10px 15%'
        },
        multiple=False
    ),
    ]),
    html.Div([dcc.Dropdown(id='data-set-upload', options=[{'label': 'AAML_Oxygen_Data.csv', 'value': 'AAML_Oxygen_Data.csv'},
                                                                    {'label': 'CH4_GCMC_Data.csv', 'value': 'CH4_GCMC_Data.csv'},
                                                                   ])]),
    html.Div([dcc.Graph(id='my-graph')], style={'display': 'inline-block', 'width': '70%', 'height':'75%'}),

    html.Div([
        html.Div([html.Label(["Select X variable:",
                              dcc.Dropdown(id='xaxis-anim', multi=False, placeholder="Select an option for X")],
                             className="six columns"
                             )], style={'width': '170%', 'display': 'inline-block'}),
        html.Div([html.Label(["Select Y variable:",
                              dcc.Dropdown(id='yaxis-anim', multi=False, placeholder='Select an option for Y')],
                             className="six columns"
                             ), ], style={'width': '170%', 'display': 'inline-block'}),
        html.Div([html.Label(
            ["Select Size variable:",
             dcc.Dropdown(id='saxis-anim', multi=False, placeholder='Select an option for Size')],
            className="six columns"
        )], style={'width': '170%', 'display': 'inline-block'}),
        html.Div([html.Label(
            ["Select Color variable:",
             dcc.Dropdown(id="caxis-anim", multi=False, placeholder='Select an option for Color')],
            className="six columns"
        )], style={'width': '170%', 'display': 'inline-block'})
    ],
        style={'display': 'inline-block', 'width': '23%', })

])


def parse_contents(contents, filename):
    content_type, content_string = contents.split(',')

    decoded = base64.b64decode(content_string)
    try:
        if 'csv' in filename:
            # Assume that the user uploaded a CSV file
            return pd.read_csv(
                io.StringIO(decoded.decode('utf-8')))
        elif 'xls' in filename:
            # Assume that the user uploaded an excel file
            return pd.read_excel(io.BytesIO(decoded))
        elif 'txt' or 'tsv' in filename:
            return pd.read_csv(
                io.StringIO(decoded.decode('utf-8')), delimiter=r'\s+'
            )
    except Exception as e:
        print(e)
        return html.Div([
            'There was an error processing this file.'
        ])


# POPULATE X AXIS DROPDOWN ANIM
@app.callback(Output('xaxis-anim', 'options'),
              [Input('data-table-upload', 'contents'),
               ],
              [State('data-table-upload', 'filename'),
               State('data-set-upload', 'value')])
def populate_xaxis_dropdown(contents, filename, dataset_upload):
    df = parse_contents(contents, filename)
    if dataset_upload is None:
        return dash.no_update
    if dataset_upload == 'AAML_Oxygen_Data.csv':
        data = df1
    elif dataset_upload == 'CH4_GCMC_Data.csv':
        data = df2
    else:
        data = df
    return [{'label': i, 'value': i} for i in data.columns]


# POPULATE Y AXIS DROPDOWN ANIM
@app.callback(Output('yaxis-anim', 'options'),
              [Input('data-table-upload', 'contents'),
               ],
              [State('data-table-upload', 'filename'),
               State('data-set-upload', 'value')])
def populate_yaxis_dropdown(contents, filename, dataset_upload, ):
    df = parse_contents(contents, filename)
    if dataset_upload is None:
        return dash.no_update
    if dataset_upload == 'AAML_Oxygen_Data.csv':
        data = df1
    elif dataset_upload == 'CH4_GCMC_Data.csv':
        data = df2
    else:
        data = df
    return [{'label': i, 'value': i} for i in data.columns]


# POPULATE C AXIS DROPDOWN ANIM
@app.callback(Output('caxis-anim', 'options'),
              [Input('data-table-upload', 'contents'),
               ],
              [State('data-set-upload', 'value'),
                  State('data-table-upload', 'filename')])
def populate_caxis_dropdown(contents, dataset_upload, filename):
    df = parse_contents(contents, filename)
    if dataset_upload is None:
        return dash.no_update
    if dataset_upload == 'AAML_Oxygen_Data.csv':
        data = df1
    elif dataset_upload == 'CH4_GCMC_Data.csv':
        data = df2
    else:
        data = df
    return [{'label': i, 'value': i} for i in data.columns]


# POPULATE S AXIS DROPDOWN ANIM
@app.callback(Output('saxis-anim', 'options'),
              [Input('data-table-upload', 'contents'),
               ],
              [State('data-set-upload', 'value'),
                  State('data-table-upload', 'filename')])
def populate_saxis_dropdown(contents, dataset_upload, filename):
    df = parse_contents(contents, filename)
    if dataset_upload is None:
        return dash.no_update
    if dataset_upload == 'AAML_Oxygen_Data.csv':
        data = df1
    elif dataset_upload == 'CH4_GCMC_Data.csv':
        data = df2
    else:
        data = df
    return [{'label': i, 'value': i} for i in data.columns]


@app.callback(Output('my-graph', 'figure'),
              [Input('data-table-upload', 'contents'),
               Input('xaxis-anim', 'value'),
               Input('yaxis-anim', 'value'),
               Input('caxis-anim', 'value'),
               Input('saxis-anim', 'value',
                     ),
               ],
              [State('data-set-upload', 'value'),
                  State('data-table-upload', 'filename')]
              )
def update_figure(contents, x, y, color, size, dataset_upload, filename):
    df = parse_contents(contents, filename)
    if dataset_upload is None:
        return dash.no_update
    if dataset_upload == 'AAML_Oxygen_Data.csv':
        data = df1
    elif dataset_upload == 'CH4_GCMC_Data.csv':
        data = df2
    else:
        data = df
    return px.scatter(data, x=data[x], y=data[y], title="", animation_frame="Pressure (bar)",
                      animation_group=data.columns[0], size=data[size], color=data[color],
                      hover_name=data.columns[0], color_continuous_scale='Viridis',
                      hover_data={}, template="none",
                      ).update_xaxes(showgrid=False, title=x, autorange=True, ticks='outside',
                                     showline=True, showspikes=True, mirror=True).update_yaxes(
        showgrid=False, title=y, autorange=True, ticks='outside', showspikes=True,
        showline=True, mirror=True ).update_layout(
        clickmode='event+select', hovermode='closest', margin={}, autosize=True
    ).update_traces(marker=dict(opacity=0.7, showscale=True, line=dict(width=0.5, color='DarkSlateGrey'),
                                colorbar=dict(title=color)))


app.run_server(debug=False)

Thank you!