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README.md

@@ -1,8 +1,25 @@
-# FastAI Model
+---
+language: en
+tags:
+- image-classification
+- fastai
+- vision
+datasets:
+- cats
+license: mit
+library_name: fastai
+---
 
-This model was trained using FastAI and deployed to Hugging Face.
+# Cat Image Classifier
 
-## Usage
+## Model Description
+This model classifies whether an input image contains a cat or not using FastAI.
+
+## Intended uses
+- Detecting cats in photographs
+- Educational purposes for learning FastAI and image classification
+
+## How to use
 
 ```python
 from fastai.learner import load_learner
@@ -12,6 +29,18 @@ from huggingface_hub import hf_hub_download
 model_path = hf_hub_download(repo_id="RamyKhorshed/Lesson2FastAi", filename="model.pkl")
 model = load_learner(model_path)
 
-# Make predictions
-# prediction = model.predict(your_input)
+# Make a prediction
+# Replace with your image path
+img_path = "path/to/your/image.jpg"
+pred, pred_idx, probs = model.predict(img_path)
+print(f"Prediction: {pred}")
+print(f"Confidence: {probs[pred_idx]:.4f}")
 ```
+
+## Limitations
+- Works best with clear, front-facing photos of cats
+- May not perform well with unusual angles or partially visible cats
+- Designed for general cat detection, not breed identification
+
+## Training
+This model was trained using FastAI on a dataset of cat and non-cat images.