mobrown commited on
Commit
862c4f1
·
verified ·
1 Parent(s): b7b1ead

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +13 -19
app.py CHANGED
@@ -72,26 +72,20 @@ def analyze_sentiment(sentence):
72
  "score": rf_model.predict_proba([sentence]).max()}
73
 
74
  return sentence, results
75
- # Define a custom extra small size
76
- text_xxs = gr.themes.Size(
77
- name="text_xxs",
78
- xxs=10, # You can adjust this value to get your desired font size
79
- xs=12,
80
- sm=14,
81
- md=16,
82
- lg=18,
83
- xl=20,
84
- xxl=22
85
- )
86
 
87
- # Create a custom theme with extra small font size
88
- custom_theme = gr.themes.Default(
89
- text_size=text_xxs, # Use our custom extra small size
90
- font=[gr.themes.GoogleFont("Source Sans Pro"), "Arial", "sans-serif"]
91
- )
92
 
93
- # Create Gradio interface with the custom theme
94
- with gr.Blocks(theme=custom_theme) as demo:
 
 
 
 
 
 
 
 
 
 
95
  gr.Markdown("# Compare Sentiment Analysis Across Models")
96
  gr.Markdown("Select a sentence to see sentiment analysis results from multiple models.")
97
 
@@ -101,4 +95,4 @@ with gr.Blocks(theme=custom_theme) as demo:
101
 
102
  dropdown.change(analyze_sentiment, inputs=[dropdown], outputs=[text_output, sentiment_output])
103
 
104
- demo.launch()
 
72
  "score": rf_model.predict_proba([sentence]).max()}
73
 
74
  return sentence, results
 
 
 
 
 
 
 
 
 
 
 
75
 
 
 
 
 
 
76
 
77
+ # Define custom CSS to reduce font size
78
+ custom_css = """
79
+ .gradio-container {
80
+ font-size: 0.7rem !important;
81
+ }
82
+ .gradio-container .output-markdown, .gradio-container .input-markdown {
83
+ font-size: 0.7rem !important;
84
+ }
85
+ """
86
+
87
+ # Create Gradio interface with custom CSS
88
+ with gr.Blocks(css=custom_css) as demo:
89
  gr.Markdown("# Compare Sentiment Analysis Across Models")
90
  gr.Markdown("Select a sentence to see sentiment analysis results from multiple models.")
91
 
 
95
 
96
  dropdown.change(analyze_sentiment, inputs=[dropdown], outputs=[text_output, sentiment_output])
97
 
98
+ demo.launch()