Fix: Added Hugging Face metadata to README

README.md

@@ -1,13 +1,41 @@
-<pre lang="yaml"> --- title: Diabetes Predictor emoji: 🧬 colorFrom: blue colorTo: green sdk: gradio app_file: app.py description: >- A simple machine learning app that predicts the likelihood of diabetes based on user inputs. license: mit --- </pre>
+---
+title: Diabetes Predictor
+emoji: 🧬
+colorFrom: blue
+colorTo: green
+sdk: gradio
+sdk_version: "4.24.0"
+app_file: app.py
+pinned: false
+---
 
-# 🩺 Diabetes Risk Predictor
+# Diabetes Predictor
 
-This app uses a logistic regression model trained on the Pima Indians Diabetes dataset to predict whether a patient is diabetic based on medical features.
+This is a simple web app that uses a machine learning model to predict the likelihood of diabetes based on user health information such as glucose level, BMI, age, etc.
 
-##  How to Use
+Built with **Gradio** and hosted on **Hugging Face Spaces**.
 
-- Clone or download the repository
-- Install dependencies: `pip install -r requirements.txt`
-- Run the app: `python diabetes_app.py`
+## How it Works
 
-Built using Gradio and scikit-learn.
+The app takes several health metrics from the user:
+
+- Pregnancies
+- Glucose
+- Blood Pressure
+- Skin Thickness
+- Insulin
+- BMI
+- Diabetes Pedigree Function
+- Age
+
+It then predicts whether the person is likely to have diabetes or not using a trained ML model.
+
+## Try it out!
+
+Simply enter the values and hit **Submit** to see the prediction.
+
+---
+
+## License
+
+MIT