Benedette Otieno commited on
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feat: Update README with deployment instructions for Hugging Face Spaces

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  1. README.md +30 -8
README.md CHANGED
@@ -1,17 +1,14 @@
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  ---
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- title: Evd
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- emoji: 🏃
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- colorFrom: green
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- colorTo: green
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  sdk: gradio
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- sdk_version: 6.17.3
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- python_version: '3.13'
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  app_file: app.py
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  pinned: false
 
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  ---
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- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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-
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  # Ebola Virus Disease Clinical Screening AI Agent
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  Production-ready adaptive EVD screening agent for healthcare workers, built with Python, Pydantic, an LLM-driven reasoning layer, LangGraph, and Gradio.
@@ -156,6 +153,31 @@ Gradio app in `app.py` includes:
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  ## 9) Deployment Instructions
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  ### Local run
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  ```bash
 
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+ title: Ebola Case Detection
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+ colorFrom: red
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+ colorTo: yellow
 
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  sdk: gradio
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+ sdk_version: 4.44.0
 
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  app_file: app.py
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  pinned: false
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+ python_version: "3.11"
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  ---
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  # Ebola Virus Disease Clinical Screening AI Agent
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  Production-ready adaptive EVD screening agent for healthcare workers, built with Python, Pydantic, an LLM-driven reasoning layer, LangGraph, and Gradio.
 
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  ## 9) Deployment Instructions
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+ ### Deploy to Hugging Face Spaces (Gradio)
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+
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+ This repository is now Space-ready.
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+
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+ 1. Create a new Space on Hugging Face:
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+ - Owner: your account or org
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+ - Space SDK: Gradio
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+ - Visibility: public or private
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+ 2. Push this repository to the Space remote:
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+
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+ ```bash
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+ # Replace with your values
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+ git remote add hf https://huggingface.co/spaces/<username-or-org>/<space-name>
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+ git push hf main
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+ ```
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+
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+ 3. In the Space settings, add required Secrets:
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+ - `EVD_LLM_API_KEY` (or `OPENAI_API_KEY`)
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+ 4. Optional Space variables/secrets:
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+ - `EVD_LLM_MODEL` (example: `gpt-4.1-mini`)
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+ - `EVD_LLM_BASE_URL` (if using a compatible non-default endpoint)
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+ - `EVD_CONTEXT_PATH` (custom context path in the Space filesystem)
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+
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+ When the build completes, the app launches automatically on the Space URL.
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+
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  ### Local run
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  ```bash