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- <h1 align="center">Boltz-1:
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- Democratizing Biomolecular Interaction Modeling
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- </h1>
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- ![](docs/boltz1_pred_figure.png)
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-
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- Boltz-1 is an open-source model which predicts the 3D structure of proteins, rna, dna and small molecules; it handles modified residues, covalent ligands and glycans, as well as condition the generation on pocket residues.
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- For more information about the model, see our [technical report](https://gcorso.github.io/assets/boltz1.pdf).
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-
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- ## Installation
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- Install boltz with PyPI (recommended):
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-
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- ```
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- pip install boltz
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- ```
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- or directly from GitHub for daily updates:
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-
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- ```
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- git clone https://github.com/jwohlwend/boltz.git
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- cd boltz; pip install -e .
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- ```
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- > Note: we recommend installing boltz in a fresh python environment
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-
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- ## Inference
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- You can run inference using Boltz-1 with:
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- ```
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- boltz predict input_path
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- ```
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- Boltz currently accepts three input formats:
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- 1. Fasta file, for most use cases
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- 2. A comprehensive YAML schema, for more complex use cases
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- 3. A directory containing files of the above formats, for batched processing
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- To see all available options: `boltz predict --help` and for more informaton on these input formats, see our [prediction instructions](docs/prediction.md).
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- ## Training
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- If you're interested in retraining the model, see our [training instructions](docs/training.md).
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- ## Contributing
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- We welcome external contributions and are eager to engage with the community. Connect with us on our [Slack channel](https://boltz-community.slack.com/archives/C0818M6DWH2) to discuss advancements, share insights, and foster collaboration around Boltz-1.
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- ## Coming very soon
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- - [ ] Pocket conditioning support
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- - [ ] More examples
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- - [ ] Full data processing pipeline
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- - [ ] Colab notebook for inference
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- - [ ] Confidence model checkpoint
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- - [ ] Support for custom paired MSA
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- - [ ] Kernel integration
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- ## License
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- Our model and code are released under MIT License, and can be freely used for both academic and commercial purposes.
 
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+ ---
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+ title: SEE-2-SOUND
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+ emoji: 🧬
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+ colorTo: yellow
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+ sdk: gradio
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+ sdk_version: 5.0.2
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+ app_file: app.py
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+ license: apache-2.0
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+ short_description: Generate spatial audio from images (and optionally text)
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+ suggested_storage: medium
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+ ---
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+
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+ Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference