lunadebruyne commited on
Commit
4aaf98d
·
1 Parent(s): 653e1d1

Update app.py

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Files changed (1) hide show
  1. app.py +3 -1
app.py CHANGED
@@ -371,7 +371,7 @@ with gr.Blocks() as demo:
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  with gr.Column():
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  input = gr.Textbox(
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  label="Enter a sentence",
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- value="Jaaah🙂volgende vakantie Barcelona en na het zomerseizoen naar de Algarve",
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  lines=1)
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  send_btn = gr.Button("Send")
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  output = gr.Textbox()
@@ -382,6 +382,8 @@ with gr.Blocks() as demo:
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  This demo allows you to analyse the emotions in a dataset with Dutch sentences.
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  The data should be in tsv-format with two named columns: the first column (id) should contain the sentence IDs, and the second column (text) should contain the actual texts. Optionally, there is a third column named 'date', which specifies the date associated with the text (e.g., tweet date). This column is necessary when the options 'emotion distribution over time' and 'peaks' are selected.
 
 
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  """)
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  with gr.Row():
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  with gr.Column():
 
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  with gr.Column():
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  input = gr.Textbox(
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  label="Enter a sentence",
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+ value="Jaaah! Volgende vakantie Barcelona en na het zomerseizoen naar de Algarve",
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  lines=1)
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  send_btn = gr.Button("Send")
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  output = gr.Textbox()
 
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  This demo allows you to analyse the emotions in a dataset with Dutch sentences.
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  The data should be in tsv-format with two named columns: the first column (id) should contain the sentence IDs, and the second column (text) should contain the actual texts. Optionally, there is a third column named 'date', which specifies the date associated with the text (e.g., tweet date). This column is necessary when the options 'emotion distribution over time' and 'peaks' are selected.
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+
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+ You can also try out the demo in showcase mode, which uses example data, namely a dataset with tweets about the COVID-19 pandemic.
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  """)
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  with gr.Row():
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  with gr.Column():