Upload README.md

README.md

@@ -1,49 +1,11 @@
-# Concrete Creep Prediction App
+---
+title: Creep Concrete Predictor
+emoji: 🚗
+colorFrom: blue
+colorTo: green
+sdk: streamlit
+sdk_version: "1.29.0"
+app_file: app.py
+pinned: false
+---
 
-A Streamlit application to predict concrete creep strain over time using a specialized LLM-style model.
-
-## Deployment Instructions
-
-### Prerequisites
-- Python 3.8 or higher
-- pip for package installation
-
-### Installation
-
-1. Clone or download this repository
-
-2. Install the required packages:
-   ```
-   pip install -r requirements.txt
-   ```
-
-3. Run the Streamlit app:
-   ```
-   streamlit run app.py
-   ```
-
-## How to Use
-
-1. Open the app in your web browser (typically at http://localhost:8501)
-2. Adjust the concrete properties using the sidebar controls:
-   - Density (kg/m³)
-   - Compressive Strength (MPa)
-   - Elastic Modulus (MPa)
-   - Initial Creep Value
-3. Set the desired time range for prediction
-4. Click "Predict Creep Strain" to generate results
-5. View the prediction charts and download the results as CSV if needed
-
-## Files
-
-- `app.py`: Standalone application code
-- `requirements.txt`: Required Python packages
-- `best_llm_model-16.pt`: Pre-trained model
-- `scalers/`: Directory containing normalization scalers
-  - `feature_scaler.pkl`: Scaler for input features
-  - `creep_scaler.pkl`: Scaler for creep values
-  - `time_values.pkl`: Time values for prediction
-
-## Model Information
-
-The application uses a specialized LLM-style transformer model to predict concrete creep strain based on concrete properties (density, compressive strength, and elastic modulus). The model performs autoregressive prediction to estimate creep over time.