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README.md

@@ -12,14 +12,11 @@ library_name: fastai
 
 # Cat Image Classifier
 
-## Model Description
-This model classifies whether an input image contains a cat or not using FastAI.
+This model classifies whether an input image contains a cat or not. You can use the model through:
+1. The interface above - just upload an image and get predictions
+2. Programmatically using the code below
 
-## Intended uses
-- Detecting cats in photographs
-- Educational purposes for learning FastAI and image classification
-
-## How to use
+## Programmatic Usage
 
 ```python
 from fastai.learner import load_learner
@@ -30,17 +27,8 @@ model_path = hf_hub_download(repo_id="RamyKhorshed/Lesson2FastAi", filename="mod
 model = load_learner(model_path)
 
 # 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.