Add speech emotion recognition CNN model

.gitattributes

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+*.keras filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+library: keras
+language: en
+tags:
+- audio
+- speech
+- emotion-recognition
+- keras
+- tensorflow
+metrics:
+- accuracy
+- f1
+---
+
+# Speech Emotion Analyzer Model
+
+This is a Keras model trained for speech emotion recognition.
+
+## Model Details
+
+The model is a Convolutional Neural Network (CNN) trained on audio features (Mel Spectrograms) to classify speech into the following emotion categories:
+
+angry, disgust, fear, happy, neutral, sad, surprise
+
+## Usage
+
+To use this model, you can load it using TensorFlow/Keras:
+
+```python
+import tensorflow as tf
+from huggingface_hub import hf_hub_download
+
+repo_id = "RayyanAhmed9477/speech-emotion-analyzer"
+filename = "cnn_emotion_model.keras" 
+
+# Download the model file
+model_path = hf_hub_download(repo_id=repo_id, filename=filename)
+
+# Load the model
+model = tf.keras.models.load_model(model_path)
+
+# Now you can use the model for prediction
+# (You'll need to implement feature extraction similar to the original app)
+```
+
+## Features
+
+- Data loading and preprocessing using the RAVDESS dataset
+- Feature extraction using librosa (MFCCs and spectrograms)
+- Neural network models (CNN) implemented with TensorFlow/Keras
+- Model training with early stopping and comprehensive evaluation metrics
+- Hyperparameter optimization

cnn_emotion_model.keras

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