Update README.md

README.md

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-# Face Detection-Based AI Automation of Lab Tests
-
-This Streamlit app performs real-time facial analysis to estimate vital signs and pre-screen lab tests using AI models.
-
-## Features
-
-- Face detection and landmark tracking via MediaPipe
-- Heart rate estimation using rPPG techniques
-- Simulated SpO₂ and Respiratory Rate calculation
-- Hemoglobin level proxy and hydration risk indicators
-- Downloadable diagnostic report as CSV
-- Built for Hugging Face Spaces
-
-## How to Run on Hugging Face Spaces
-
-1. Clone or upload this repository to your Hugging Face account.
-2. Include the `app.py`, `requirements.txt`, and this `README.md` file.
-3. Make sure your `app.py` file contains the Streamlit code.
-4. Set `app.py` as the entry point in the Space settings.
+---
+title: AI LAB
+emoji: 🦀
+colorFrom: red
+colorTo: blue
+sdk: gradio
+sdk_version: 5.31.0
+app_file: app.py
+pinned: false
+license: apache-2.0
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference