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Update README.md
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README.md
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generated_sequences = [tokenizer.decode(output_seq, skip_special_tokens=True) for output_seq in output]
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```
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## Limitations and Future Work
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- Predictions require experimental validation for practical use.
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- Future improvements will focus on incorporating diverse training data and enhancing prediction accuracy for the efficacy of generated antibodies.
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generated_sequences = [tokenizer.decode(output_seq, skip_special_tokens=True) for output_seq in output]
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```
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## Links:
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- [Huggingface Model Repository](https://huggingface.co/AntibodyGeneration)
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- [Web Demo](https://orca-app-ygzbp.ondigitalocean.app/Demo_Antibody_Generator)
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- [OpenSource RunPod Severless Rest API](https://github.com/joethequant/docker_protein_generator)
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- [The Code for this App](https://github.com/joethequant/docker_streamlit_antibody_protein_generation)
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## Additional Resources and Links
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- [Progen Foundation Models](https://github.com/salesforce/progen)
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- [ANARCI Github](https://github.com/oxpig/ANARCI)
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- [ANARCI Webserver](http://opig.stats.ox.ac.uk/webapps/anarci/)
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- [TAP: Therapeutic Antibody Profiler](https://opig.stats.ox.ac.uk/webapps/sabdab-sabpred/sabpred/tap)
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- [ESM Fold](https://esmatlas.com/resources?action=fold)
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## Limitations and Future Work
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- Predictions require experimental validation for practical use.
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- Future improvements will focus on incorporating diverse training data and enhancing prediction accuracy for the efficacy of generated antibodies.
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