fix(docs): metadata readme.md

README.md

@@ -1,3 +1,17 @@
+---
+title: Classify Text With Bert Hate Speech
+emoji: 🔥
+colorFrom: purple
+colorTo: red
+sdk: gradio
+sdk_version: 3.20.1
+app_file: app.py
+pinned: false
+license: openrail
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+
 # Hate Speech Classifier
 
 This project uses TensorFlow, and BERT to implement a hate speech and offensive language classifier. The model is trained on the Hate Speech and Offensive Language Dataset and can classify tweets into three classes:
@@ -52,17 +66,4 @@ This project is based on:
 - Classify text with BERT. (s. f.). TensorFlow. https://www.tensorflow.org/text/tutorials/classify_text_with_bert
 - Devlin, J., Chang, M., Lee, K., & Toutanova, K. (2018). BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. arXiv (Cornell University). https://arxiv.org/pdf/1810.04805v2
 - G. (2021, 3 febrero). Hate Speech - BERT+CNN and BERT+MLP in Tensorflow. Kaggle. https://www.kaggle.com/code/giovanimachado/hate-speech-bert-cnn-and-bert-mlp-in-tensorflow
-- Hate Speech and Offensive Language Dataset. (2020, 17 junio). Kaggle. https://www.kaggle.com/mrmorj/hate-speech-and-offensive-language-dataset
-
-
----
-title: Classify Text With Bert Hate Speech
-emoji: 🔥
-colorFrom: purple
-colorTo: red
-sdk: gradio
-sdk_version: 3.20.1
-app_file: app.py
-pinned: false
-license: openrail
----
+- Hate Speech and Offensive Language Dataset. (2020, 17 junio). Kaggle. https://www.kaggle.com/mrmorj/hate-speech-and-offensive-language-dataset