model update

README.md

@@ -27,7 +27,21 @@ model-index:
 pipeline_tag: text-classification
 widget:
 - text: Get the all-analog Classic Vinyl Edition of "Takin' Off" Album from {@herbiehancock@} via {@bluenoterecords@} link below {{URL}}
-  example_title: "Example"
+   example_title: "Example: topic_classification 1" 
+- text: Yes, including Medicare and social security saving👍
+   example_title: "Example: sentiment 1" 
+- text: 天気が良いとやっぱり気持ち良いなあ✨
+   example_title: "Example: sentiment 2" 
+- text: All two of them taste like ass.
+   example_title: "Example: offensive 1" 
+- text: If you wanna look like a badass, have drama on social media
+   example_title: "Example: irony 1" 
+- text: Whoever just unfollowed me you a bitch
+   example_title: "Example: hate 1" 
+- text: I love swimming for the same reason I love meditating...the feeling of weightlessness.
+   example_title: "Example: emotion 1" 
+- text: Beautiful sunset last night from the pontoon @TupperLakeNY
+   example_title: "Example: emoji 1" 
 ---
 # cardiffnlp/twitter-roberta-base-dec2021-irony 
 
@@ -50,8 +64,8 @@ pip install tweetnlp
 Load the model in python.
 ```python
 import tweetnlp
-model = tweetnlp.Classifier(cardiffnlp/twitter-roberta-base-dec2021-irony, max_length=128)
-model.predict(Get the all-analog Classic Vinyl Edition of "Takin' Off" Album from {@herbiehancock@} via {@bluenoterecords@} link below {{URL}})
+model = tweetnlp.Classifier("cardiffnlp/twitter-roberta-base-dec2021-irony", max_length=128)
+model.predict('Get the all-analog Classic Vinyl Edition of "Takin' Off" Album from {@herbiehancock@} via {@bluenoterecords@} link below {{URL}}')
 ```
 
 ### Reference