Update README.md

README.md

@@ -4,14 +4,22 @@ datasets:
 - mshenoda/spam-messages
 pipeline_tag: text-classification
 widget:
-  - text: "U have a secret admirer. REVEAL who thinks U R So special. Call 09065174042. To opt out Reply REVEAL STOP. 1.50 per msg recd."
-    example_title: "spam example 1"
-  - text: "Hey so this sat are we going for the intro pilates only? Or the kickboxing too?"
-    example_tile: "ham example 1"
-  - text: "Great News! Call FREEFONE 08006344447 to claim your guaranteed $1000 CASH or $2000 gift. Speak to a live operator NOW!"
-    example_tile: "spam example 2"
-  - text: "Dude im no longer a pisces. Im an aquarius now."
-    example_tile: "ham example 2"
+- text: >-
+    U have a secret admirer. REVEAL who thinks U R So special. Call 09065174042.
+    To opt out Reply REVEAL STOP. 1.50 per msg recd.
+  example_title: spam example 1
+- text: >-
+    Hey so this sat are we going for the intro pilates only? Or the kickboxing
+    too?
+  example_title: ham example 1
+- text: >-
+    Great News! Call FREEFONE 08006344447 to claim your guaranteed $1000 CASH or
+    $2000 gift. Speak to a live operator NOW!
+  example_title: spam example 2
+- text: Dude im no longer a pisces. Im an aquarius now.
+  example_title: ham example 2
+language:
+- en
 ---
 # RoBERTa based Spam Message Detection
 Spam messages frequently carry malicious links or phishing attempts posing significant threats to both organizations and their users. By choosing our RoBERTa-based spam message detection system, organizations can greatly enhance their security infrastructure. Our system effectively detects and filters out spam messages, adding an extra layer of security that safeguards organizations against potential financial losses, legal consequences, and reputational harm.