Deploy static agentic reproducibility frontend
#1
by Phoenixrises - opened
- README.md +116 -5
- index.html +0 -0
README.md
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---
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title: Agentic Reproducibility Engine
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emoji: 🐨
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colorFrom: gray
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colorTo: yellow
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sdk: static
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license: apache-2.0
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---
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---
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title: Agentic Reproducibility Engine
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sdk: static
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app_file: index.html
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fullWidth: true
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license: apache-2.0
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---
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# Agentic Reproducibility Engine
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Static Hugging Face Space frontend for the AMD-hosted multi-agent reproducibility evaluator.
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It is intentionally plain HTML, not Gradio, so the public app stays lightweight while the
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agent API and Qwen/Qwen3.5-27B vLLM endpoint run on the AMD GPU instance.
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## Files
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```text
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README.md Space metadata and setup notes
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index.html Static frontend copied from the product root
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```
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## Runtime Shape
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```text
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Hugging Face Static Space
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v
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HTTPS Agent API on AMD Developer Cloud
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v
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Qwen/Qwen3.5-27B through vLLM on ROCm
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```
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The Space itself does not run the model. It calls the AMD-hosted backend.
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## Connect To The AMD Backend
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Open the Space with an API override:
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```text
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https://your-space-name.hf.space/?api=https://your-amd-api-host
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```
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The frontend calls:
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```text
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GET /health
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POST /runs
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POST /runs/stream
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GET /runs/{run_id}
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GET /runs/{run_id}/report
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```
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The AMD backend must allow the Space origin:
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```bash
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CORS_ORIGINS=https://your-space-name.hf.space
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```
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For local testing, the backend can use:
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```bash
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CORS_ORIGINS=*
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```
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## Create With The Hugging Face CLI
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After logging in with a write token:
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```text
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hf auth login
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hf repo create lablab-ai-amd-developer-hackathon/agentic-reproducibility-engine --type space --space-sdk static
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git clone https://huggingface.co/spaces/lablab-ai-amd-developer-hackathon/agentic-reproducibility-engine
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copy README.md agentic-reproducibility-engine/README.md
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copy index.html agentic-reproducibility-engine/index.html
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cd agentic-reproducibility-engine
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git add README.md index.html
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git commit -m "Deploy static agentic reproducibility frontend"
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git push
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```
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## Create With The Repo Script
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From the product root:
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```powershell
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pip install -r deploy-amd-hf\requirements-amd.txt
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$env:HF_TOKEN="hf_..."
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python deploy-amd-hf\scripts\create_hf_static_space.py
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```
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## Create With `huggingface_hub`
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The same operation can be automated with:
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```python
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from huggingface_hub import HfApi
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api = HfApi(token="hf_...")
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api.create_repo(
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repo_id="lablab-ai-amd-developer-hackathon/agentic-reproducibility-engine",
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repo_type="space",
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space_sdk="static",
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private=False,
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exist_ok=True,
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)
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api.upload_folder(
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folder_path="agentic-reproducibility-engine/deploy-amd-hf/huggingface-space",
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repo_id="lablab-ai-amd-developer-hackathon/agentic-reproducibility-engine",
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repo_type="space",
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)
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```
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## Production Checklist
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- Put HTTPS in front of the AMD backend.
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- Keep the vLLM port private; expose only the agent API.
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- Set `MODEL_ID=Qwen/Qwen3.5-27B` on the AMD instance.
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- Set `SERVED_MODEL_NAME=qwen3.5-27b-amd` and match `MODEL_NAME` in the agent API.
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- Use a DNS name for the API host so the Space URL stays stable.
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- Run `python deploy-amd-hf/scripts/check_amd_readiness.py --strict` after deploy.
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- Capture one successful audit run and the `/health` payload for submission evidence.
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index.html
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