Update README.md

README.md

@@ -1,21 +1,23 @@
 ---
-language: en
+language:
+- pt
+- en
 license: mit
 pipeline_tag: document-question-answering
 tags:
- - layoutlm
- - document-question-answering
- - pdf
+- document-question-answering
+- pdf
 widget:
-- text: "What is the invoice number?"
-  src: "https://huggingface.co/spaces/impira/docquery/resolve/2359223c1837a7587402bda0f2643382a6eefeab/invoice.png"
-- text: "What is the purchase amount?"
-  src: "https://huggingface.co/spaces/impira/docquery/resolve/2359223c1837a7587402bda0f2643382a6eefeab/contract.jpeg"
+- text: Qual é o número da fatura?
+  src: >-
+    https://huggingface.co/spaces/impira/docquery/resolve/2359223c1837a7587402bda0f2643382a6eefeab/invoice.png
+- text: Qual é o valor da compra?
+  src: >-
+    https://huggingface.co/spaces/impira/docquery/resolve/2359223c1837a7587402bda0f2643382a6eefeab/contract.jpeg
+metrics:
+- accuracy
 ---
 
-# LayoutLM for Visual Question Answering
-
-This is a fine-tuned version of the multi-modal [LayoutLM](https://aka.ms/layoutlm) model for the task of question answering on documents. It has been fine-tuned using both the [SQuAD2.0](https://huggingface.co/datasets/squad_v2) and [DocVQA](https://www.docvqa.org/) datasets.
 
 ## Getting started with the model
 
@@ -53,7 +55,3 @@ nlp(
 ```bash
 pip install git+https://github.com/huggingface/transformers.git@2ef774211733f0acf8d3415f9284c49ef219e991
 ```
-
-## About us
-
-This model was created by the team at [Impira](https://www.impira.com/).