Update README.md

README.md

@@ -1,46 +1,15 @@
-# Student Placement Predictor
 
-A machine learning web app that predicts whether a student will be selected based on their **CGPA** and **IQ**.
-
-## Demo
-
-Try it live on [Hugging Face Spaces](https://huggingface.co/spaces/jackenmail/predictor)
-
-## How It Works
-
-Enter a student's CGPA and IQ score, and the model predicts:
-- **User will select** — the student is likely to be selected
-- **User will not select** — the student is unlikely to be selected
-
-The model uses a **Logistic Regression** pipeline with **StandardScaler** preprocessing trained on student placement data.
-
-## Inputs
-
-| Field | Description |
-|-------|-------------|
-| CGPA  | Cumulative Grade Point Average (e.g. 7.5) |
-| IQ    | IQ score (e.g. 120) |
-
-## Tech Stack
-
-- [Gradio](https://gradio.app/) — web UI
-- [scikit-learn](https://scikit-learn.org/) — ML model
-- [joblib](https://joblib.readthedocs.io/) — model serialization
-- [NumPy](https://numpy.org/) — numerical processing
-
-## Run Locally
-
-```bash
-pip install -r requirements.txt
-python app.py
-```
-
-Then open `http://localhost:7860` in your browser.
-
-## Files
-
-```
-app.py            # Gradio app and prediction logic
-model.pkl         # Trained scikit-learn pipeline (StandardScaler + LogisticRegression)
-requirements.txt  # Python dependencies
-```
+title: Predictor
+emoji: 💻
+colorFrom: purple
+colorTo: indigo
+sdk: gradio
+sdk_version: 6.14.0
+python_version: '3.13'
+app_file: app.py
+pinned: false
+license: apache-2.0
+short_description: 'A supervised machine learning workflow '
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference