Update README.md

README.md

@@ -1,3 +1,31 @@
----
-license: mit
----
+---
+license: mit
+---
+# Xception Model for Emotion Recognition
+
+This model is based on the **Xception** architecture and trained on the **FER2013** dataset and **CK+** for **emotion recognition**.
+
+## Model Details
+- **Architecture**: Xception
+- **Input Shape**: (48, 48, 1)
+- **Output Shape**: 7 classes (emotion categories)
+- **Pretrained on**: FER2013 dataset (Augmented)
+- **File Type**: `.h5`
+
+## How to Use the Model
+
+### Using the Hugging Face Inference API:
+You can use this model directly through the **Hugging Face Inference API**. Here's an example of how to use it:
+
+```python
+from transformers import pipeline
+
+# Replace with the model's name on Hugging Face
+model_name = "lama9876/Xception-Model"
+
+# Load the model using the pipeline
+model = pipeline('image-classification', model=model_name)
+
+# Make a prediction (replace with the path to your image)
+result = model("path_to_image.jpg")
+print(result)