Import Error: Cannot load backend 'TkAgg' which requires the 'tk' interactive framework, as 'headless' is currently running

I’m facing import error while executing the ludwig from google colab… !!

Below is the code which I executed in steps:

1. Loading Ludwig !pip install ludwig

2. Upload file from local to Drive - to use in Colab from google.colab import files uploaded = files.upload()

3. Train DataSet using ludwig cmd !ludwig train --data_csv ludwig_traindataset_1.csv --model_definition_file model_def.yaml

My model_def.yaml

input_features:
  - name: utterance
    type: sequence
    encoder: rnn
    cell_type: lstm
    bidirectional: true
    num_layers: 2
    reduce_output: None

output_features:
  - name: intent
    type: category
    reduce_input: sum
    num_fc_layers: 1
    fc_size: 64
  - name: slots
    type: sequence
    decoder: tagger

Dummy Dataset:

Attached the screenshot error:

Can anyone help me on this in Google Colab GPU / Python 3.6

[w4nderlust]

Yes I will update to version 0.1.1 once enough bugs are fixed. In the mean time can you please try with pip install https://github.com/uber/ludwig/archive/master.zip which should install the current code in the master branch?

[w4nderlust]

So it turns out mpl.use('TKAgg') was needed to render windows in Mac OS X in older versions of matplotlib. I removed it and increased the matplotlib version in the requirements. Please confirm this solves the issue.