Update README.md

README.md

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 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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+# YoloV3 object detection model- Interactive Interface
+    
+This project Impliments a simple Gradio interface to perform inference on YoloV3 object detection.
+
+## Task : 
+
+The task involves performing detection on the Pascal voc dataset using the YoloV3 model built with PyTorch and PyTorch Lightning. 
+
+## Files :
+
+1. `requirements.txt`: Contains the necessary packages required for installation.
+2. `model.py`: Contains the YoloV3 model architecture.
+3. `YoloV3.pth`: Trained model checkpoint file containing model weights.
+4. `examples/`: Folder containing example images (e.g., car.jpg, home.jpg, etc.).
+5. `app.py`: Contains the Gradio code for the interactive interface. Users can select input images or examples of the model that detects objects.
+
+
+## Implementation
+
+The following features are implemented using Gradio:
+
+1. **Upload and Select Images:** Users can upload new images or select from a set of example images.
+
+
+## Usage
+
+1. Run the `app.py` script to launch the interactive Gradio interface.