Update app.py
Browse fileschange theme definetly
app.py
CHANGED
|
@@ -29,6 +29,8 @@ def adjust_brightness(rgb_color: tuple[int, int, int], factor: float) -> tuple[i
|
|
| 29 |
new_rgb = colorsys.hsv_to_rgb(hsv_color[0], hsv_color[1], new_v)
|
| 30 |
return tuple(int(v * 255) for v in new_rgb)
|
| 31 |
|
|
|
|
|
|
|
| 32 |
class MPGPoster(Default):
|
| 33 |
@staticmethod
|
| 34 |
def create_color_shades(hex_color: str, brightness_control: float = 1.0) -> colors.Color:
|
|
@@ -75,7 +77,7 @@ class MPGPoster(Default):
|
|
| 75 |
secondary_dark_hue = MPGPoster.create_color_shades("#6ad5bc") #006c66
|
| 76 |
#secondary_light_hue = MPGPoster.create_color_shades("#fbf22c") #6ad5bc
|
| 77 |
#tertiary_highlight_hue = MPGPoster.create_color_shades("#6ad5bc") #fbf22c
|
| 78 |
-
|
| 79 |
super().__init__(
|
| 80 |
primary_hue=primary_hue,
|
| 81 |
secondary_hue=secondary_dark_hue,
|
|
@@ -193,7 +195,7 @@ iface = gr.Interface(
|
|
| 193 |
title="Scoring Demo",
|
| 194 |
description="Autobiographical Memory Analysis: This demo combines two text - and two sequence classification models to showcase our automated Autobiographical Interview scoring method. Submit a narrative to see the results.",
|
| 195 |
examples = examples,
|
| 196 |
-
theme=
|
| 197 |
)
|
| 198 |
|
| 199 |
# Launch the combined interface
|
|
|
|
| 29 |
new_rgb = colorsys.hsv_to_rgb(hsv_color[0], hsv_color[1], new_v)
|
| 30 |
return tuple(int(v * 255) for v in new_rgb)
|
| 31 |
|
| 32 |
+
|
| 33 |
+
"""
|
| 34 |
class MPGPoster(Default):
|
| 35 |
@staticmethod
|
| 36 |
def create_color_shades(hex_color: str, brightness_control: float = 1.0) -> colors.Color:
|
|
|
|
| 77 |
secondary_dark_hue = MPGPoster.create_color_shades("#6ad5bc") #006c66
|
| 78 |
#secondary_light_hue = MPGPoster.create_color_shades("#fbf22c") #6ad5bc
|
| 79 |
#tertiary_highlight_hue = MPGPoster.create_color_shades("#6ad5bc") #fbf22c
|
| 80 |
+
|
| 81 |
super().__init__(
|
| 82 |
primary_hue=primary_hue,
|
| 83 |
secondary_hue=secondary_dark_hue,
|
|
|
|
| 195 |
title="Scoring Demo",
|
| 196 |
description="Autobiographical Memory Analysis: This demo combines two text - and two sequence classification models to showcase our automated Autobiographical Interview scoring method. Submit a narrative to see the results.",
|
| 197 |
examples = examples,
|
| 198 |
+
theme= monochrome #"soft" #monochrome #mpg_poster
|
| 199 |
)
|
| 200 |
|
| 201 |
# Launch the combined interface
|