Error on running coqui_stt_training.train

[KakoozaJerry]

An error while trying to run inference on test sentences and clips

I get this error below after running this script

!python -m coqui_stt_training.train --load_checkpoint_dir /content/drive/MyDrive/Emergent/ASR/JonasNewCheckpoints/Checkpoints/ --checkpoint_dir /content/drive/MyDrive/Emergent/ASR/JonasNewCheckpoints/Checkpoints/ --test_files /content/drive/MyDrive/Emergent/recorded_dataset/Agric_ASR/lg/second_iter/lg/clips/test.csv --scorer /content/drive/MyDrive/Emergent/ASR/Jonas_old/luganda.scorer --alphabet_config_path /content/drive/MyDrive/Emergent/ASR/JonasNewCheckpoints/Checkpoints/alphabet.txt

Error below

W Calling training module without --train_files. Using the training module as a generic driver for all training related functionality is deprecated and will be removed soon. Use the specific modules: 
W     python -m coqui_stt_training.train
W     python -m coqui_stt_training.evaluate
W     python -m coqui_stt_training.export
W     python -m coqui_stt_training.training_graph_inference
W Specifying --test_files when calling train module. Use python -m coqui_stt_training.evaluate Using the training module as a generic driver for all training related functionality is deprecated and will be removed soon. Use the specific modules: 
W     python -m coqui_stt_training.train
W     python -m coqui_stt_training.evaluate
W     python -m coqui_stt_training.export
W     python -m coqui_stt_training.training_graph_inference
I Loading best validating checkpoint from /content/drive/MyDrive/Emergent/ASR/JonasNewCheckpoints/Checkpoints/best_dev-1597139
I Loading variable from checkpoint: cudnn_lstm/rnn/multi_rnn_cell/cell_0/cudnn_compatible_lstm_cell/bias
I Loading variable from checkpoint: cudnn_lstm/rnn/multi_rnn_cell/cell_0/cudnn_compatible_lstm_cell/kernel
I Loading variable from checkpoint: global_step
I Loading variable from checkpoint: layer_1/bias
I Loading variable from checkpoint: layer_1/weights
I Loading variable from checkpoint: layer_2/bias
I Loading variable from checkpoint: layer_2/weights
I Loading variable from checkpoint: layer_3/bias
I Loading variable from checkpoint: layer_3/weights
I Loading variable from checkpoint: layer_5/bias
I Loading variable from checkpoint: layer_5/weights
I Loading variable from checkpoint: layer_6/bias
I Loading variable from checkpoint: layer_6/weights
Testing model on /content/drive/MyDrive/Emergent/recorded_dataset/Agric_ASR/lg/second_iter/lg/clips/test.csv
Test epoch | Steps: 0 | Elapsed Time: 0:00:00                                   Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "/usr/local/lib/python3.7/dist-packages/coqui_stt_training/train.py", line 724, in <module>
    main()
  File "/usr/local/lib/python3.7/dist-packages/coqui_stt_training/train.py", line 704, in main
    evaluate.test()
  File "/usr/local/lib/python3.7/dist-packages/coqui_stt_training/evaluate.py", line 179, in test
    samples = evaluate(Config.test_files, create_model)
  File "/usr/local/lib/python3.7/dist-packages/coqui_stt_training/evaluate.py", line 172, in evaluate
    samples.extend(run_test(init_op, dataset=csv))
  File "/usr/local/lib/python3.7/dist-packages/coqui_stt_training/evaluate.py", line 143, in run_test
    predictions.extend(d[0].transcript for d in decoded)
  File "/usr/local/lib/python3.7/dist-packages/coqui_stt_training/evaluate.py", line 143, in <genexpr>
    predictions.extend(d[0].transcript for d in decoded)
AttributeError: 'tuple' object has no attribute 'transcript'

This is my test.csv file

wav_filename	wav_filesize	transcript
_1.wav	271148	kika kya kigimusa ki ekisinga obulungi mu kuku...
_2.wav	235820	sizoni ki ennungi okusimbiramu ebijanjaalo
_3.wav	325676	abalimi bayinza kukolera ki ebitooke ebyonoone...
_4.wav	380972	kikolwa kirungi okulima obummonde mu ntobazi n...
_5.wav	235772	mutendera ki ogunaaba omulungi okukoma okufuuy...

[reuben]

Latest main branch requires building the decoder package from source:

$ make -C native_client/ctcdecode bindings
$ pip install -U --force-reinstall native_client/ctcdecode/dist/*.whl

Alternatively you can checkout the latest stable release of the training code:

$ git checkout v1.2.0