Update README.md

README.md

@@ -58,14 +58,13 @@ This model takes **48x48 grayscale face images** and classifies them into:
 
 > 📌 *Add your actual performance metrics here:*
 
-- Accuracy on FER2013 Test Set: **~XX.XX%**
-- Confusion Matrix & F1 Score (Recommended for deeper insights)
+- Accuracy on FER2013 Test Set: **~1.0%**
 
 ---
 
 ## 🗂️ Required Files
 
-- `model.h5` or `model.pt` → Model Weights  
+- `model.h5` → Model Weights  
 - `config.json` → Configuration file *(Transformers-based)*  
 - `preprocessor_config.json` → Preprocessing setup *(if needed)*  
 - `requirements.txt` → Python dependencies
@@ -97,7 +96,7 @@ transformers>=4.20.0
 pillow>=8.0.0
 ### 1. Clone the Repository
 
-git clone https://github.com/yourusername/mood_detector.git
+git clone https://github.com/TRavi8688/Mood-Based-Music-Player
 cd mood_detector
 
 ##🧪 How to Use (Transformers-based)
@@ -151,13 +150,13 @@ upload_folder(
 ```
 ###
 🧭 Ethical Considerations
- ⚖️ Bias: The FER2013 dataset may exhibit biases in demographic representation. Exercise caution when interpreting results across diverse populations.
- 🔒 Privacy: Ensure strict compliance with data privacy laws (e.g., GDPR, CCPA) when using this model on personal or sensitive images. Do not use without explicit consent.
- ❗ Misuse: This model is not intended for unauthorized surveillance, profiling, or any other unethical applications.
 
+    ⚖️ Bias: The FER2013 dataset may exhibit biases in demographic representation. Exercise caution when interpreting results across diverse populations.
+    🔒 Privacy: Ensure strict compliance with data privacy laws (e.g., GDPR, CCPA) when using this model on personal or sensitive images. Do not use without explicit consent.
+    ❗ Misuse: This model is not intended for unauthorized surveillance, profiling, or any other unethical applications.
+    
 ###
 👤 Contact
-
   📬 For questions, support, or collaborations:
   Hugging Face → @ravi86
   Gmail→ travikumar6789@gmail.com