Update README.md

README.md

@@ -65,7 +65,7 @@ Classical Arabic sentences used to train the model where generated using GPT Mod
 As an estimate on 200K random samples, most training samples are from Gulf region, the dialects regions is an estimate of the input Arabic-Tweets Dataset classified by DialectIdentifyer provided by camel tools https://camel-tools.readthedocs.io/en/latest/api/dialectid.html, we also can say that the Model can work better to convert below Regions' Dialects into MSA, below figure shows the approximate dilects by regions the Model were trained on.
 
 
-<img src="https://huggingface.co/HamzaNaser/Dialects-to-MSA-Transformer/resolve/main/Dialects%20by%20Region.png" alt="Dialects by Region" width="600">
+<img src="https://huggingface.co/HamzaNaser/Dialects-to-MSA-Transformer/resolve/main/Dialects%20by%20Region.png" alt="Dialects by Region" width="800">
 
 
 # Other use cases for the model