-

README.md

@@ -1,45 +1,10 @@
-# YOLOv8 Video/Webcam Inference Streamlit App
-
-This is a Streamlit application that uses YOLOv8 models with Ultralytics for real-time inference on videos or webcam feed.
-
-## Requirements
-
-- Python 3.7+
-- Streamlit
-- Ultralytics
-- OpenCV
-
-## Installation
-
-1. Clone the repository:
-
-   ```
-   git clone https://github.com/your-username/yolov8-streamlit-app.git
-   cd yolov8-streamlit-app
-   ```
-
-2. Install the dependencies:
-
-   ```
-   pip install -r requirements.txt
-   ```
-
-## Usage
-
-1. Download the YOLOv8 model file (`yolov8n.pt`) and place it in the project directory.
-
-2. Run the Streamlit app:
-
-   ```
-   streamlit run app.py
-   ```
-
-3. Open the app in your web browser using the provided URL.
-
-4. Upload a video file or select the "Use webcam" option to start the inference.
-
-5. The app will display the inference results on the video frames or webcam feed in real-time.
-
-## License
-
-This project is licensed under the MIT License. 
+---
+title: My YOLOv8 Inference App
+emoji: 🚀
+colorFrom: blue
+colorTo: green
+sdk: streamlit
+sdk_version: "1.0.0"
+app_file: app.py
+pinned: false
+---