Create README.md

README.md

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+---
+language: en
+tags:
+  - tensorflow
+  - classification
+  - plant-disease-detection
+license: mit
+---
+
+# Leafy Vegetable Disease Detection Model
+
+## Model Description
+This model is trained to detect diseases in leafy vegetables using images. It utilizes the PlantVillage dataset to identify various plant diseases.
+
+## Intended Use
+This model can be used for:
+- Detecting diseases in images of leafy vegetables.
+- Providing feedback and recommendations for farmers and agricultural specialists.
+
+## How to Use
+You can use this model by sending an image of a leafy vegetable to the Inference API endpoint.
+
+## Model Details
+- **Input**: Image (JPEG/PNG)
+- **Output**: Prediction of disease type with confidence scores.
+
+## Training Data
+This model is trained on the PlantVillage dataset, which contains labeled images of healthy and diseased plants.
+
+## Limitations
+- The model's performance may vary based on image quality and environmental conditions.
+- It may not recognize diseases not present in the training dataset.
+
+## Example
+Here’s an example of how to use this model with the Inference API:
+
+```python
+import requests
+
+url = "https://api-inference.huggingface.co/models/JayGab/Leafy-Vegetable-Disease-Detection"
+
+files = {'file': open('path_to_image.jpg', 'rb')}
+response = requests.post(url, files=files)
+print(response.json())