Update README.md

README.md

@@ -2,14 +2,60 @@
 license: mit
 pipeline_tag: image-classification
 ---
-# WOW Spell Identificator
 
-<!-- Provide a quick summary of what the model is/does. -->
+# WOW Spell Identifier
 
-This model is a lightweight image classification model trained to identify wow spells images. If receive a 56x56 image and outputs spell id probabilities.
+This model is a specialized image classification model trained to identify World of Warcraft (WoW) spell images. It accepts a 56x56 pixel image as input and outputs the probabilities for various spell IDs.
+
+## Model Description
+
+The WOW Spell Identifier is designed to assist gamers by automating the recognition of spell icons during gameplay. By processing 56x56 pixel images, the model predicts the likelihood of each spell ID, enabling the integration of this functionality into gaming tools for acessibility.
 
 ## Model Details
 
-- **Developed by:** Luiz Hemerly
-- **Model type:** Image Classification
-- **License:** MIT
+- **Developer:** Luiz Hemerly
+- **Model Type:** Convolutional Neural Network (CNN) for Image Classification
+- **Framework:** TensorFlow/Keras
+- **Input:** 56x56 pixel image
+- **Output:** Probabilities for spell IDs
+- **License:** MIT
+
+## Usage
+
+The model can be integrated into gaming interfaces or used in standalone applications to enhance the gaming experience by providing real-time spell identification.
+
+```python
+import tensorflow as tf
+
+# Load the trained model
+model = tf.keras.models.load_model('path_to_model/spell_identifier_model.h5')
+
+# Load the list of spell IDs from classes.txt
+with open('path_to_classes/classes.txt', 'r') as file:
+    classes = file.read().splitlines()
+
+# Function to preprocess the input image
+def preprocess_image(image_path):
+    # Implement preprocessing steps (e.g., resizing, normalization)
+    pass
+
+# Function to predict the spell ID
+def predict_spell_id(image_path):
+    processed_image = preprocess_image(image_path)
+    predictions = model.predict(processed_image)
+    predicted_class_index = np.argmax(predictions)
+    predicted_spell_id = classes[predicted_class_index]
+    return predicted_spell_id
+
+# Example usage
+spell_id = predict_spell_id('path_to_image/spell_image.png')
+print(spell_id)
+```
+
+In this example, classes.txt contains the list of spell IDs corresponding to the model’s output classes. The predict_spell_id function processes the image, makes a prediction, and then maps the predicted class index to the actual spell ID using the classes list.
+
+## Contributions
+Contributions to the model and its development are welcome.
+
+## License
+This project is licensed under the MIT License.