Update flexynesis to 1.1.7

[nilchia]

FOR CONTRIBUTOR:

• I have read the CONTRIBUTING.md document and this tool is appropriate for the tools-iuc repo.
• License permits unrestricted use (educational + commercial)
• This PR adds a new tool or tool collection
• This PR updates an existing tool or tool collection
• This PR does something else (explain below)

There are two labels that allow to ignore specific (false positive) tool linter errors:

• skip-version-check: Use it if only a subset of the tools has been updated in a suite.
• skip-url-check: Use it if github CI sees 403 errors, but the URLs work.

[nilchia]

the inference works for regression and classification tasks.

the error for crossmodality is this:

Job in error state.. tool_id: flexynesis_infer, exit_code: 1, stderr: /usr/local/lib/python3.13/site-packages/geomloss/samples_loss.py:58: SyntaxWarning: invalid escape sequence '\i'
/usr/local/lib/python3.13/site-packages/geomloss/kernel_samples.py:5: SyntaxWarning: invalid escape sequence '\s'
Traceback (most recent call last):
  File "/home/nilchia/Documents/github/bgruening/galaxytools/tools/flexynesis/convert_safetensors_pth.py", line 239, in <module>
    model = reconstruct_model(
        safetensors_path=args.safetensors,
        config_path=args.config,
        artifacts_path=args.artifacts,
    )
  File "/home/nilchia/Documents/github/bgruening/galaxytools/tools/flexynesis/convert_safetensors_pth.py", line 210, in reconstruct_model
    model.load_state_dict(state_dict)
    ~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^
  File "/usr/local/lib/python3.13/site-packages/torch/nn/modules/module.py", line 2635, in load_state_dict
    raise RuntimeError(
    ...<3 lines>...
    )
RuntimeError: Error(s) in loading state_dict for CrossModalPred:
	Missing key(s) in state_dict: "decoders.1.hidden_layers.0.weight", "decoders.1.hidden_layers.0.bias", "decoders.1.hidden_layers.2.weight", "decoders.1.hidden_layers.2.bias", "decoders.1.hidden_layers.2.running_mean", "decoders.1.hidden_layers.2.running_var", "decoders.1.FC_output.weight", "decoders.1.FC_output.bias". 
.

The errro for unsupervised is this:

Job in error state.. tool_id: flexynesis_infer, exit_code: 1, stderr: /usr/local/lib/python3.13/site-packages/geomloss/samples_loss.py:58: SyntaxWarning: invalid escape sequence '\i'
/usr/local/lib/python3.13/site-packages/geomloss/kernel_samples.py:5: SyntaxWarning: invalid escape sequence '\s'
/usr/local/lib/python3.13/site-packages/geomloss/samples_loss.py:58: SyntaxWarning: invalid escape sequence '\i'
/usr/local/lib/python3.13/site-packages/geomloss/kernel_samples.py:5: SyntaxWarning: invalid escape sequence '\s'
Traceback (most recent call last):
  File "/usr/local/bin/flexynesis", line 10, in <module>
    sys.exit(main())
             ~~~~^^
  File "/usr/local/lib/python3.13/site-packages/flexynesis/__main__.py", line 485, in main
    model = torch.load(args.pretrained_model, map_location=device, weights_only=True)
  File "/usr/local/lib/python3.13/site-packages/torch/serialization.py", line 1548, in load
    raise pickle.UnpicklingError(_get_wo_message(str(e))) from None
_pickle.UnpicklingError: Weights only load failed. This file can still be loaded, to do so you have two options, �[1mdo those steps only if you trust the source of the checkpoint�[0m. 
	(1) In PyTorch 2.6, we changed the default value of the `weights_only` argument in `torch.load` from `False` to `True`. Re-running `torch.load` with `weights_only` set to `False` will likely succeed, but it can result in arbitrary code execution. Do it only if you got the file from a trusted source.
	(2) Alternatively, to load with `weights_only=True` please check the recommended steps in the following error message.
	WeightsUnpickler error: Unsupported global: GLOBAL flexynesis.models.supervised_vae.supervised_vae was not an allowed global by default. Please use `torch.serialization.add_safe_globals([flexynesis.models.supervised_vae.supervised_vae])` or the `torch.serialization.safe_globals([flexynesis.models.supervised_vae.supervised_vae])` context manager to allowlist this global if you trust this class/function.

Check the documentation of torch.load to learn more about types accepted by default with weights_only https://pytorch.org/docs/stable/generated/torch.load.html.