Update app.py

app.py

@@ -1,7 +1,7 @@
 # -*- coding: utf-8 -*-
 # file: deploy_demo.py
 # time: 2021/10/10
-# author: yangheng <yangheng@m.scnu.edu.cn>
+# author: yangheng <hy345@exeter.ac.uk>
 # github: https://github.com/yangheng95
 # Copyright (C) 2021. All Rights Reserved.
 
@@ -10,7 +10,7 @@ import pandas as pd
 
 from pyabsa import APCCheckpointManager
 
-sentiment_classifier = APCCheckpointManager.get_sentiment_classifier(checkpoint='fast_lsa_t_v2_Multilingual_acc_88.44_f1_82.66.zip',
+sentiment_classifier = APCCheckpointManager.get_sentiment_classifier(checkpoint='multilingual',
                                                                      auto_device=True  # False means load model on CPU
                                                                      )
 
@@ -18,6 +18,7 @@ sentiment_classifier = APCCheckpointManager.get_sentiment_classifier(checkpoint=
 def inference(text):
     result = sentiment_classifier.infer(text=text,
                                         print_result=True,
+                                        ignore_error=False,
                                         clear_input_samples=True)
 
     result = pd.DataFrame({
@@ -36,19 +37,16 @@ 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 !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] '],
+            ['Strong build though which really adds to its [ASP]durability[ASP] .'],  # !sent! Positive
+            ['Strong [ASP]build[ASP] though which really adds to its durability . !sent! Positive'],
+            ['The [ASP]battery life[ASP] is excellent - 6-7 hours without charging . !sent! Positive'],
             ['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'], 
-            ['Use [ASP] aspect [ASP] to wrap target aspects. And you can use "!sent!" to tell the model the true sentiment'],
+            ['And I may be the only one but I am really liking [ASP]Windows 8[ASP] . !sent! Positive'],
             ['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_polarity_classification)',
         title='Multilingual Aspect Sentiment Classification for Short Texts (powered by PyABSA)'
     )
 
-    iface.launch()
+    iface.launch(share=True)