[Bug] TTS does not detect new model versions

Describe the bug A clear and concise description of what the bug is.

After upgrading from tts-0.0.9 to tts-0.0.11 the model was updated but TTS still tries to load the cached version. A fix could be to hash models and compare if the cached model is the same as the hash. This also fixes cases where models were corrupted in any way

To Reproduce

$  /nix/store/kfk8kql1pxbxz6iazjwnac0cl1llzapn-tts-0.0.11/bin/tts-server --model_name tts_models/en/ljspeech/glow-tts --vocoder_name vocoder_models/universal/libri-tts/fullband-melgan
 > tts_models/en/ljspeech/glow-tts is already downloaded.
 > vocoder_models/universal/libri-tts/fullband-melgan is already downloaded.
 > Using model: glow_tts
Traceback (most recent call last):
  File "/nix/store/kfk8kql1pxbxz6iazjwnac0cl1llzapn-tts-0.0.11/bin/.tts-server-wrapped", line 6, in <module>
    from TTS.server.server import main
  File "/nix/store/kfk8kql1pxbxz6iazjwnac0cl1llzapn-tts-0.0.11/lib/python3.8/site-packages/TTS/server/server.py", line 62, in <module>
    synthesizer = Synthesizer(args.tts_checkpoint, args.tts_config, args.vocoder_checkpoint, args.vocoder_config, args.use_cuda)
  File "/nix/store/kfk8kql1pxbxz6iazjwnac0cl1llzapn-tts-0.0.11/lib/python3.8/site-packages/TTS/utils/synthesizer.py", line 45, in __init__
    self.load_tts(tts_checkpoint, tts_config,
  File "/nix/store/kfk8kql1pxbxz6iazjwnac0cl1llzapn-tts-0.0.11/lib/python3.8/site-packages/TTS/utils/synthesizer.py", line 95, in load_tts
    self.tts_model.load_checkpoint(tts_config, tts_checkpoint, eval=True)
  File "/nix/store/kfk8kql1pxbxz6iazjwnac0cl1llzapn-tts-0.0.11/lib/python3.8/site-packages/TTS/tts/models/glow_tts.py", line 229, in load_checkpoint
    self.load_state_dict(state['model'])
  File "/nix/store/1vv0fsvdv9j4gmqjgjwb3c5v8x906qgd-python3.8-pytorch-1.8.1/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1223, in load_state_dict
    raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
RuntimeError: Error(s) in loading state_dict for GlowTTS:
        size mismatch for encoder.emb.weight: copying a param with shape torch.Size([129, 192]) from checkpoint, the shape in current model is torch.Size([130, 192]).
/nix/store/kfk8kql1pxbxz6iazjwnac0cl1llzapn-tts-0.0.11/bin/tts-server      4,64s user 0,71s system 117% cpu 4,541 total

Expected behavior

Environment (please complete the following information):

• OS Platform and Distribution (e.g., Linux Ubuntu 16.04): NixOS
• PyTorch or TensorFlow version (use command below): pytorch 1.8.1
• Python version: 3.7
• CUDA/cuDNN version: no cuda
• GPU model and memory: no gpu
• Exact command to reproduce: see above

[Mic92]

I mean could --model_name tts_models/en/ljspeech/glow-tts just make sure the latest version with the correct config.json is downloaded automatically? I don’t think that end-users without machine learning knowledge can make any sense of the error message thrown by the frontend.

[Mic92]

Still an issue.