kaushikbar commited on
Commit
0261490
·
1 Parent(s): 49d0e05

Multiple language support added.

Browse files
Files changed (1) hide show
  1. app.py +14 -10
app.py CHANGED
@@ -78,24 +78,27 @@ def sequence_to_classify(sequence, labels):
78
  example_text1 = "Coronavirus disease (COVID-19) is an infectious disease caused by the SARS-CoV-2 virus. Most \
79
  people who fall sick with COVID-19 will experience mild to moderate symptoms and recover without special treatment. \
80
  However, some will become seriously ill and require medical attention."
81
- example_labels1="business,health related,politics,climate change"
82
 
83
- example_text2="Ja, vi elsker dette landet,\
84
  som det stiger frem,\
85
  furet, værbitt over vannet,\
86
  med de tusen hjem.\
87
  Og som fedres kamp har hevet\
88
  det av nød til seir"
89
- example_labels2="helse,sport,religion,mat,patriotisme og nasjonalisme"
90
 
91
- example_text3="Elephants are"
92
- example_labels3="big,small,strong,fast,carnivorous"
93
 
94
- example_text4="Dogs are man's best friend"
95
- example_labels4="positive,negative,neutral"
96
 
97
- example_text5="Amar sonar bangla ami tomay bhalobasi"
98
- example_labels5="bhalo,kharap"
 
 
 
99
 
100
  iface = gr.Interface(
101
  title="Multilingual Multi-label Zero-shot Classification",
@@ -115,5 +118,6 @@ iface = gr.Interface(
115
  [example_text2, example_labels2],
116
  [example_text3, example_labels3],
117
  [example_text4, example_labels4],
118
- [example_text5, example_labels5]])
 
119
  iface.launch()
 
78
  example_text1 = "Coronavirus disease (COVID-19) is an infectious disease caused by the SARS-CoV-2 virus. Most \
79
  people who fall sick with COVID-19 will experience mild to moderate symptoms and recover without special treatment. \
80
  However, some will become seriously ill and require medical attention."
81
+ example_labels1 = "business,health related,politics,climate change"
82
 
83
+ example_text2 = "Ja, vi elsker dette landet,\
84
  som det stiger frem,\
85
  furet, værbitt over vannet,\
86
  med de tusen hjem.\
87
  Og som fedres kamp har hevet\
88
  det av nød til seir"
89
+ example_labels2 = "helse,sport,religion,mat,patriotisme og nasjonalisme"
90
 
91
+ example_text3 = "Elephants are"
92
+ example_labels3 = "big,small,strong,fast,carnivorous"
93
 
94
+ example_text4 = "Dogs are man's best friend"
95
+ example_labels4 = "positive,negative,neutral"
96
 
97
+ example_text5 = "Amar sonar bangla ami tomay bhalobasi"
98
+ example_labels5 = "bhalo,kharap"
99
+
100
+ example_text6 = "Letzte Woche gab es einen Selbstmord in einer nahe gelegenen kolonie"
101
+ example_labels6 = "Verbrechen,Tragödie,Stehlen"
102
 
103
  iface = gr.Interface(
104
  title="Multilingual Multi-label Zero-shot Classification",
 
118
  [example_text2, example_labels2],
119
  [example_text3, example_labels3],
120
  [example_text4, example_labels4],
121
+ [example_text5, example_labels5],
122
+ [example_text6, example_labels6]])
123
  iface.launch()