Update README.md

README.md

@@ -166,6 +166,12 @@ python auto_train.py
 python test_prediction_pipeline.py
 ```
 
+### 4. Execute the APP
+
+```bash
+streamlit run app.py
+```
+
 ## 🏗️ Architecture
 
 The model uses a sophisticated multi-modal architecture:
@@ -201,13 +207,6 @@ python test_prediction_pipeline.py
 
 This will run the model on the test dataset and provide detailed performance metrics.
 
-## 🤗 Hugging Face Integration
-
-The model can be easily shared and deployed using Hugging Face Hub:
-
-```bash
-python push_to_hub.py
-```
 
 ## 🚧 Limitations
 
@@ -257,7 +256,7 @@ Please make sure to update tests as appropriate and follow the existing code sty
 ### Development Setup
 
 ```bash
-git clone https://github.com/your-username/speech_emotion_classification.git
+git clone https://github.com/Rayyan9477/speech_emotion_classification.git
 cd speech_emotion_classification
 pip install -r requirements.txt
 pip install -r requirements-dev.txt  # For development dependencies
@@ -280,14 +279,6 @@ If you use this model in your research, please cite:
 }
 ```
 
-## 🆘 Support
-
-If you have any questions or encounter issues:
-
-1. Check the [Issues](https://github.com/your-username/speech_emotion_classification/issues) page
-2. Open a new issue if your problem hasn't been addressed
-3. For feature requests, please open an issue with the "enhancement" tag
-
 ## 🙏 Acknowledgments
 
 - The RAVDESS dataset creators for providing the high-quality emotional speech data