Update app.py

app.py

@@ -36,15 +36,18 @@ if __name__ == '__main__':
         fn=inference,
         inputs=["text"],
         examples=[
-            ['前面老师[ASP]讲课[ASP]很好,后面的[ASP]分享课[ASP]过快了,显得很紧张,听不太清,一点都没有分享的意境,流水帐似的一带而过的味道。希望[ASP]分享课[ASP]改进一下，谢谢大家'],
-            ['听了老师的[ASP]讲解[ASP]受益匪浅，老师的[ASP]讲解形式[ASP]唯美听之让人陶醉真正做到了寓教于乐。我喜欢这种[ASP]授课方式[ASP]'],
+            ['前面老师[ASP]讲课[ASP]很好,后面的[ASP]分享课[ASP]过快了,显得很紧张,听不太清,一点都没有分享的意境,流水帐似的一带而过的味道。希望[ASP]分享课[ASP]改进一下，谢谢大家 !sent!Positive,Negative,Negative'],
+            ['听了老师的[ASP]讲解[ASP]受益匪浅，老师的[ASP]讲解形式[ASP]唯美听之让人陶醉真正做到了寓教于乐。我喜欢这种[ASP]授课方式[ASP] '],
             ['I have had my [ASP]computer[ASP] for 2 weeks already and it [ASP]works[ASP] perfectly . !sent!  Positive, Positive'],
-            ['Strong build though which really adds to its [ASP]durability[ASP] .'],  # !sent! Positive
+            ['Strong build though which really adds to its [ASP]durability[ASP] . !sent! Positive'], 
             ['Use [ASP] aspect [ASP] to wrap target aspects. And you can use "!sent!" to tell the model the true sentiment'],
             ['This demo is trained on the laptop and restaurant and other review datasets from [ASP]ABSADatasets[ASP] (https://github.com/yangheng95/ABSADatasets)'],
             ['To fit on your data, please train the model on your own data, see the [ASP]PyABSA[ASP] (https://github.com/yangheng95/PyABSA)'],
         ],
         outputs="dataframe",
+        description='This demo is trained on the public and community shared datasets from ABSADatasets (https://github.com/yangheng95/ABSADatasets),'
+                    ' please feel free to share your data to improve this work. To fit on your data, please train our ATEPC models on your own data,'
+                    ' see the PyABSA (https://github.com/yangheng95/PyABSA/tree/release/demos/aspect_term_extraction)',
         title='Multilingual Aspect Sentiment Classification for Short Texts (powered by PyABSA)'
     )