Update README.md

README.md

@@ -107,6 +107,34 @@ result = model(doc)
 result.show()
 ```
 
+![Visualization sample](https://github.com/felixdittrich92/OnnxTR/raw/main/docs/images/doctr_example_script.gif)
+
+Or even rebuild the original document from its predictions:
+
+```python
+import matplotlib.pyplot as plt
+
+synthetic_pages = result.synthesize()
+plt.imshow(synthetic_pages[0]); plt.axis('off'); plt.show()
+```
+
+![Synthesis sample](https://github.com/felixdittrich92/OnnxTR/raw/main/docs/images/synthesized_sample.png)
+
+The `ocr_predictor` returns a `Document` object with a nested structure (with `Page`, `Block`, `Line`, `Word`, `Artefact`).
+To get a better understanding of the document model, check out [documentation](https://mindee.github.io/doctr/modules/io.html#document-structure):
+
+You can also export them as a nested dict, more appropriate for JSON format / render it or export as XML (hocr format):
+
+```python
+json_output = result.export()  # nested dict
+text_output = result.render()  # human-readable text
+xml_output = result.export_as_xml()  # hocr format
+for output in xml_output:
+    xml_bytes_string = output[0]
+    xml_element = output[1]
+
+```
+
 <details>
   <summary>Advanced engine configuration options</summary>
 
@@ -140,34 +168,6 @@ predictor = ocr_predictor(
 
 </details>
 
-![Visualization sample](https://github.com/felixdittrich92/OnnxTR/raw/main/docs/images/doctr_example_script.gif)
-
-Or even rebuild the original document from its predictions:
-
-```python
-import matplotlib.pyplot as plt
-
-synthetic_pages = result.synthesize()
-plt.imshow(synthetic_pages[0]); plt.axis('off'); plt.show()
-```
-
-![Synthesis sample](https://github.com/felixdittrich92/OnnxTR/raw/main/docs/images/synthesized_sample.png)
-
-The `ocr_predictor` returns a `Document` object with a nested structure (with `Page`, `Block`, `Line`, `Word`, `Artefact`).
-To get a better understanding of the document model, check out [documentation](https://mindee.github.io/doctr/modules/io.html#document-structure):
-
-You can also export them as a nested dict, more appropriate for JSON format / render it or export as XML (hocr format):
-
-```python
-json_output = result.export()  # nested dict
-text_output = result.render()  # human-readable text
-xml_output = result.export_as_xml()  # hocr format
-for output in xml_output:
-    xml_bytes_string = output[0]
-    xml_element = output[1]
-
-```
-
 ## Loading custom exported models
 
 You can also load docTR custom exported models: