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examples/science/af3-slurm/examples/simple_ipynb_launcher/Ipynb.md

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**1. Uploading the Input Data:**
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Begin by uploading your input JSON file, which contains the data required by AlphaFold, either `datapipeline` or `inference` input file, to the Jupyter Notebook environment. You can usually do this using the file upload feature available within the notebook interface.
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Begin by uploading your input JSON file, which contains the data required by AlphaFold, either `datapipeline` or `inference` input file, to the Jupyter Notebook environment. You can usually do this using the file upload feature available within the notebook interface as shown by image below.
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<img src="adm/upload_file.png" alt="upload file" width="400">
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<img src="adm/upload_file.png" alt="try to upload file under the alphafold folder" width="400">
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When specifying the input file name (e.g., `fold_input.json`) during the configuration of your data pipeline or inference, it's crucial to reference the correct **relative file path**. Your files should be organized like this:
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```code
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alphafold/
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├── <your_input_file>.json
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└── slurm-rest-api-notebook.ipynb
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```
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The input JSON file should be in the `alphafold` folder.
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Usage:
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```python
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input_file= "fold_input.json"
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```
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**2. Running the Setup Cells (including System Configuration and SLURM Initialization):**
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