Create requirements.txt

requirements.txt

@@ -0,0 +1,30 @@
+ultralytics
+pillow
+```
+
+### Option 2: Use Hugging Face Spaces Instead
+
+Deploy your model as a Gradio or Streamlit app on Hugging Face Spaces, which gives you more flexibility:
+
+1. Create a new Space
+2. Upload your model files
+3. Create an `app.py` with a simple interface
+4. Use the Spaces API for programmatic access
+
+### Option 3: Self-host with Custom Container
+
+Since YOLO models aren't natively supported, you could create a custom Docker container and deploy it elsewhere (AWS SageMaker, GCP, Azure ML, or your own server).
+
+### Option 4: Use Ultralytics HUB
+
+Ultralytics (the creators of YOLO) have their own hosting platform called Ultralytics HUB that's specifically designed for YOLO models.
+
+## Recommended Next Steps
+
+1. **Try Option 1 first**: Add the `handler.py` and `requirements.txt` to your model repository
+2. Make sure your repository structure looks like:
+```
+   your-model-repo/
+   ├── FFDNet-L.pt
+   ├── handler.py
+   └── requirements.txt