Update README.md

# 🧠 Trash Classifier - ResNet Trash Sorting AI

This model classifies garbage into one of six categories:
- **Cardboard**
- **Glass**
- **Metal**
- **Paper**
- **Plastic**
- **Trash**

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## 🚀 How to Use

### 🔍 Web Interface

Upload an image to the web interface above and get a prediction instantly.

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### 📡 API Usage

You can use the Space programmatically with a POST request:

#### 🔁 Example using `requests` in Python:

```python
import requests

api_url = "https://yasir-13001-trash-classifier.hf.space/run/predict"
image_path = "test.jpg"

with open(image_path, "rb") as f:
files = {"image": f}
response = requests.post(api_url, files=files)

print(response.json())
````

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### 📦 Input

* **Image file** (JPG, PNG)

### 🧾 Output

* A dictionary with category names and confidence scores, e.g.:

```json
{
"cardboard": 0.02,
"glass": 0.01,
"metal": 0.10,
"paper": 0.85,
"plastic": 0.01,
"trash": 0.01
}
```

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## 🛠 Built With

* 🧠 `PyTorch` for model training
* 🖼 `torchvision` for image processing
* 🎛 `Gradio` for the frontend/API
* 🤗 Hosted on `Hugging Face Spaces`

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## 📚 Documentation

* [Hugging Face Spaces Documentation](https://huggingface.co/docs/hub/spaces)
* [Gradio Docs (Interface, API)](https://www.gradio.app/docs)
* [PyTorch](https://pytorch.org/docs/)

README.md

@@ -8,6 +8,7 @@ sdk_version: 5.35.0
 app_file: app.py
 pinned: false
 license: mit
+short_description: Classify trash into 6 Categories with 90 percent accuracy
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference