Update README.md

README.md

@@ -1,6 +1,7 @@
 ---
 language:
 - ru
+- en
 pipeline_tag: text-to-image
 tags:
 - PyTorch
@@ -20,12 +21,13 @@ Model was trained by [Sber AI](https://github.com/sberbank-ai) and [SberDevices]
 * Task: `text2image generation`
 * Type: `encoder-decoder`
 * Num Parameters: `1.3 B`
-* Training Data Volume `120 million text-image pairs`
+* Training Data Volume:`120 million text-image pairs`
 
 ### Model Description
 This is a 1.3 billion parameter model for Russian, recreating OpenAI's [DALL·E](https://openai.com/blog/dall-e/), a model capable of generating arbitrary images from a text prompt that describes the desired result. 
 
-The generation pipeline includes ruDALL-E, ruCLIP for ranging results, and a superresolution model.
+The generation pipeline includes ruDALL-E, ruCLIP for ranging results, and a superresolution model. 
+You can use automatic translation into Russian to create desired images with ruDALL-E.
 
 ### How to Use
 The easiest way to get familiar with the code and the models is to follow the inference notebook we provide in our [github repo](https://huggingface.co/sberbank-ai/rudalle-Malevich).