updated version

README.md

@@ -78,3 +78,38 @@ The model predicts one of the following four categories:
 ### Installation
 ```bash
 pip install tensorflow huggingface_hub
+```
+
+
+```python
+from tensorflow.keras.models import load_model
+from huggingface_hub import hf_hub_download
+import numpy as np
+from tensorflow.keras.preprocessing import image
+
+# Download model file from Hugging Face Hub
+model_path = hf_hub_download(
+    repo_id="larrikin-coder/brain-tumor-cnn",  # replace with your repo
+    filename="cnn_model.h5"
+)
+
+# Load model
+model = load_model(model_path)
+
+# Preprocess an image
+img = image.load_img("test_mri.jpg", target_size=(224, 224))
+img_array = image.img_to_array(img) / 255.0
+img_array = np.expand_dims(img_array, axis=0)
+
+# Predict
+pred = model.predict(img_array)
+class_names = ["glioma", "meningioma", "pituitary", "no_tumor"]
+print("Prediction:", class_names[np.argmax(pred)])
+```
+
+@misc{larrikin-coder2025,
+  title={CNN Brain Tumor Classifier},
+  author={Larrikin Coder},
+  year={2025},
+  howpublished={\url{https://huggingface.co/larrikin-coder/brain-tumor-cnn}}
+}