lunadebruyne commited on
Commit
62ef56e
·
1 Parent(s): 4585131

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +4 -8
app.py CHANGED
@@ -404,14 +404,6 @@ with gr.Blocks() as demo:
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  _As we are currently updating this demo, submitting your own data is unavailable for the moment._
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  _Try out the showcase mode._
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  """)
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- with gr.Row():
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- with gr.Column(min_width=100):
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- demo_btn = gr.Button("Showcase with example data", variant="primary")
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- gr.Markdown("""
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- #### Run in showcase mode or use your own data
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-
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- Try out the demo in showcase mode, which uses example data (609,206 tweets about the COVID-19 pandemic) with all the options provided by the demo, or upload your own dataset.
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- """)
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  with gr.Row():
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  with gr.Column(min_width=100):
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  input_file = gr.File(
@@ -420,6 +412,7 @@ with gr.Blocks() as demo:
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  ["emotion frequencies", "emotion distribution over time", "peaks", "topics"],
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  label = "Select options")
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  send_btn = gr.Button("Submit data")
 
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  with gr.Column(min_width=100):
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  gr.Markdown("""
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  #### Data format
@@ -430,6 +423,9 @@ with gr.Blocks() as demo:
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  **Emotion distribution over time** outputs a line plot that visualises the frequency of predicted emotions over time for each emotion category.
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  **Peaks** outputs a step graph that only shows the significant fluctuations (upwards and downwards) in emotion frequencies over time.
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  **Topics** uses [BERTopic](https://maartengr.github.io/BERTopic/index.html) to find topics in the datasets, and outputs a bar plot that shows the emotion distribution per topic.
 
 
 
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  """)
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  with gr.Row():
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  with gr.Column():
 
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  _As we are currently updating this demo, submitting your own data is unavailable for the moment._
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  _Try out the showcase mode._
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  """)
 
 
 
 
 
 
 
 
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  with gr.Row():
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  with gr.Column(min_width=100):
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  input_file = gr.File(
 
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  ["emotion frequencies", "emotion distribution over time", "peaks", "topics"],
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  label = "Select options")
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  send_btn = gr.Button("Submit data")
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+ demo_btn = gr.Button("Showcase with example data", variant="primary")
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  with gr.Column(min_width=100):
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  gr.Markdown("""
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  #### Data format
 
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  **Emotion distribution over time** outputs a line plot that visualises the frequency of predicted emotions over time for each emotion category.
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  **Peaks** outputs a step graph that only shows the significant fluctuations (upwards and downwards) in emotion frequencies over time.
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  **Topics** uses [BERTopic](https://maartengr.github.io/BERTopic/index.html) to find topics in the datasets, and outputs a bar plot that shows the emotion distribution per topic.
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+
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+ #### Run in showcase mode or use your own data
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+ Try out the demo in showcase mode, which uses example data (609,206 tweets about the COVID-19 pandemic) with all the options provided by the demo, or upload your own dataset.
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  """)
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  with gr.Row():
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  with gr.Column():