Update README.md

README.md

@@ -9,4 +9,35 @@ app_file: app.py
 pinned: false
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-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Palm Oil Price Predictor
+
+A machine learning application to predict palm oil prices using historical data.
+
+## Features
+- Predict future palm oil prices based on a linear regression model
+- View model performance metrics (MAE, MAPE, RMSE)
+- Visualize historical data and predictions
+- Retrain the model with updated data
+
+## Tech Stack
+- Python
+- Gradio (UI)
+- Scikit-learn (ML)
+- Pandas & NumPy (Data Processing)
+- Hugging Face Spaces (Deployment)
+
+## Setup
+1. Ensure `palm_oil.xlsx` contains your data with 'date' and 'nilai' columns
+2. Run `train_model.py` locally to generate `static/model/model.pkl`
+3. Deploy to Hugging Face Spaces with Gradio SDK
+
+## Usage
+- **Predict**: From January 2025 
+- **Model Insights**: View performance metrics and historical data
+- **Retrain**: Update the model with the latest data
+
+## Limitations
+- Model retraining is temporary (resets on Space restart)
+- Assumes linear relationship in data
+
+Developed by [Ihsan Andrinal] | [https://www.linkedin.com/in/ihsan-andrinal/]