Update README.md

README.md

@@ -1,3 +1,27 @@
-huggingface-cli login
-git lfs install
-git clone https://huggingface.co/username/weather-forecast-model
+# Weather Forecasting Space
+
+This Space lets you input historical temperature + humidity data (past 24 hours) and returns forecasted temperatures for the next 6 hours using a trained ML model.
+
+## Usage
+
+- Enter comma-separated timestamps (ISO format), temperatures, and humidities.
+- Click **Submit** to get predictions.
+
+## Model
+
+- Model architecture: (your model type, e.g. LSTM / Transformer)  
+- Input features: temperature, humidity, hour-of-day sin/cos  
+- Training data: (mention dataset)  
+- Performance metrics: (MAE, RMSE on test set)
+
+## How It Works
+
+- `app.py` loads the model & scaler  
+- Preprocesses inputs: builds features, scaling, tensor conversion  
+- Runs model inference  
+- Returns forecast
+
+## Requirements
+
+See `requirements.txt`.
+