Update README.md

README.md

@@ -51,6 +51,10 @@ Practitioners who can use the model to gauge emotional states based on textual d
 
 This model can be used directly for sentiment analysis tasks by leveraging the Hugging Face Transformers library. Users can input text data and receive sentiment classifications without the need for additional fine-tuning. 
 
+**Decoded Image**
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+![Overview](https://huggingface.co/Varnikasiva/sentiment-classification-bert-mini/resolve/main/model_overview.png)
+
 **Example Usage:**
 
 ```python
@@ -65,9 +69,7 @@ print(result)  # Output: [{'label': 'happy'}]
 
 
 
-**Decoded Image**
 
-![Overview](https://huggingface.co/Varnikasiva/sentiment-classification-bert-mini/resolve/main/model_overview.png)