ktejeshnaidu commited on
Commit
5a38d5b
·
verified ·
1 Parent(s): ed96e1f

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +3 -7
app.py CHANGED
@@ -96,7 +96,8 @@ with gr.Blocks(title="Smilo😃 - Real-Time Emotion Detection") as demo:
96
  <h1 style="color: white; margin: 0; margin-bottom: 10px; font-weight: 900; font-size: 3.5em; display: flex; align-items: center; justify-content: center; gap: 10px;">
97
  Smilo <span style="font-size: 0.9em;">😃</span>
98
  </h1>
99
- <p style="color: #f0f0f0; font-size: 1.2em; margin: 0; font-weight: 400; letter-spacing: 0.5px;">Real-Time Emotion Detection powered by PyTorch</p>
 
100
  </div>
101
  """)
102
 
@@ -112,12 +113,7 @@ with gr.Blocks(title="Smilo😃 - Real-Time Emotion Detection") as demo:
112
  with gr.Column():
113
  image_output = gr.Image(label="Annotated Image")
114
  emotion_output = gr.Textbox(label="Prediction Result", interactive=False)
115
- with gr.HTML("""
116
- <div style='text-align: center; color: var(--color-text-secondary); font-size: 0.85em;'>
117
- Smilo - Real-Time Emotion Detction using PyTorch & OpenCV |
118
- <a href='https://github.com/TejeshNaiduKona/Smilo' target='_blank'>GitHub</a>
119
- </div>
120
- """)
121
  # Connect the function to the button
122
  submit_btn.click(
123
  fn=predict_emotion,
 
96
  <h1 style="color: white; margin: 0; margin-bottom: 10px; font-weight: 900; font-size: 3.5em; display: flex; align-items: center; justify-content: center; gap: 10px;">
97
  Smilo <span style="font-size: 0.9em;">😃</span>
98
  </h1>
99
+ <p style="color: #f0f0f0; font-size: 1.2em; margin: 0; font-weight: 400; letter-spacing: 0.5px;">Real-Time Emotion Detection powered by PyTorch <a href='https://github.com/TejeshNaiduKona/Smilo' target='_blank'>GitHub</a></p>
100
+
101
  </div>
102
  """)
103
 
 
113
  with gr.Column():
114
  image_output = gr.Image(label="Annotated Image")
115
  emotion_output = gr.Textbox(label="Prediction Result", interactive=False)
116
+
 
 
 
 
 
117
  # Connect the function to the button
118
  submit_btn.click(
119
  fn=predict_emotion,