SoDehghan commited on
Commit
6013867
1 Parent(s): 8f119eb

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +7 -8
app.py CHANGED
@@ -22,7 +22,7 @@ st.set_page_config(
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  sentiment_pipeline_tr = pipeline(task = "text-classification", model = "SoDehghan/BERTurk-hate-speech") # "gritli/bert-sentiment-analyses-imdb"
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  label_dict = {'LABEL_1': 'Hate ❌', 'LABEL_0': 'Non-hate ✅'}
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- def hsd_turkish:
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  result_tr = sentiment_pipeline_tr(tr_input)
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  sentiment_tr = result_tr[0]["label"]
@@ -31,12 +31,6 @@ def hsd_turkish:
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  return sentiment_tr
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-
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-
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- st.sidebar.title("Hate Speech Detection")
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- #st.sidebar.write("In this HuggingFace space you can use Hate Speech Detection model built at [VERİM - Center of Excellence in Data Analytics - Sabanci University](https://github.com/verimsu).")
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- st.sidebar.write('This tool is developed in the context of the EU project "Utilizing Digital Technology for Social Cohesion, Positive Messaging and Peace by Boosting Collaboration, Exchange and Solidarity" (EuropeAid/170389/DD/ACT/Multi) by [Sabanci University Center of Excellence in Data Analytics](https://github.com/verimsu).')
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-
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  iface = gr.Interface(fn=[hsd_turkish],
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  inputs=gr.inputs.Textbox(lines=2, placeholder=None, label="Enter text here:"),
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  outputs=['text'], # a list should match the number of values returned by fn to have one input and 2 putputs.
@@ -44,4 +38,9 @@ iface = gr.Interface(fn=[hsd_turkish],
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  title = "HSD in Turkish",
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  theme = "peach")
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- iface.launch(share=False, enable_queue=True)
 
 
 
 
 
 
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  sentiment_pipeline_tr = pipeline(task = "text-classification", model = "SoDehghan/BERTurk-hate-speech") # "gritli/bert-sentiment-analyses-imdb"
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  label_dict = {'LABEL_1': 'Hate ❌', 'LABEL_0': 'Non-hate ✅'}
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+ def hsd_turkish(text_in):
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  result_tr = sentiment_pipeline_tr(tr_input)
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  sentiment_tr = result_tr[0]["label"]
 
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  return sentiment_tr
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  iface = gr.Interface(fn=[hsd_turkish],
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  inputs=gr.inputs.Textbox(lines=2, placeholder=None, label="Enter text here:"),
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  outputs=['text'], # a list should match the number of values returned by fn to have one input and 2 putputs.
 
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  title = "HSD in Turkish",
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  theme = "peach")
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+ iface.launch(share=False, enable_queue=True)
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+
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+
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+ st.sidebar.title("Hate Speech Detection")
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+ #st.sidebar.write("In this HuggingFace space you can use Hate Speech Detection model built at [VERİM - Center of Excellence in Data Analytics - Sabanci University](https://github.com/verimsu).")
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+ st.sidebar.write('This tool is developed in the context of the EU project "Utilizing Digital Technology for Social Cohesion, Positive Messaging and Peace by Boosting Collaboration, Exchange and Solidarity" (EuropeAid/170389/DD/ACT/Multi) by [Sabanci University Center of Excellence in Data Analytics](https://github.com/verimsu).')