Spaces:
Running
Running
| # π Hugging Face Space: Deployment Guide | |
| To meet the "Minimum Submission Requirements," you must host your environment on Hugging Face. Here is how to do it in 5 minutes: | |
| ### 1. Create the Space | |
| 1. Go to [huggingface.co/new-space](https://huggingface.co/new-space). | |
| 2. Name it: `sql-debug-env`. | |
| 3. SDK: Select **Docker**. | |
| 4. Template: **Blank**. | |
| ### 2. Upload these files to the Space | |
| You only need to upload these files from your project: | |
| * `server/` (The whole folder) | |
| * `Dockerfile` (Use the one in your root) | |
| * `requirements.txt` | |
| * `openenv.yaml` | |
| ### 3. Add Secrets | |
| In the Space settings, add your `HF_TOKEN` as a Secret if you want to use gated models, but for the **Environment**, no secrets are needed. | |
| ### 4. Link it in your README | |
| Once the Space is running, copy the URL (e.g., `https://huggingface.co/spaces/mdayan/sql-debug-env`) and paste it into the **Results** section of your `README.md`. | |
| --- | |
| ### π Why this wins: | |
| By putting the **Environment** in a Space and the **Training Logs** in WandB, you are showing the judges a complete "Production AI Lifecycle." Most teams will just upload a Python file. You are uploading a **Platform.** | |