Spaces:
Sleeping
Sleeping
Anon
commited on
Commit
·
ee645d7
1
Parent(s):
e16ad82
update requirements.
Browse files- app.py +208 -0
- requirements.txt +1 -0
app.py
ADDED
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@@ -0,0 +1,208 @@
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| 1 |
+
import gradio as gr
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| 2 |
+
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| 3 |
+
# --- Placeholder image paths (local files in same repo) ---
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| 4 |
+
CAT_IMG_URL = "https://placekitten.com/256/256" # swap with local cat if you want
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| 5 |
+
UNICORN_WITH_HORN_PATH = "unicorn_with_horn.png"
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| 6 |
+
UNICORN_NO_HORN_PATH = "unicorn_without_horn.png"
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| 7 |
+
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| 8 |
+
# --- Dummy callbacks ---
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| 9 |
+
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| 10 |
+
def steer_spectacles(strength: float):
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| 11 |
+
"""
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| 12 |
+
Placeholder: given a steering strength, return (left_img, right_img).
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| 13 |
+
Later you can replace this with your actual spectacles-mapping logic.
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| 14 |
+
"""
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| 15 |
+
return CAT_IMG_URL, CAT_IMG_URL
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| 16 |
+
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| 17 |
+
def run_ablation(layer_name: str, strength: float):
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| 18 |
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"""
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| 19 |
+
Placeholder ablation function: currently just returns None.
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| 20 |
+
Replace with your actual ablation pipeline and return an image.
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| 21 |
+
"""
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| 22 |
+
# TODO: hook layer_name + strength into your UNet / transformer ablation
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| 23 |
+
return None
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+
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| 25 |
+
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| 26 |
+
with gr.Blocks() as demo:
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| 27 |
+
# Inject CSS via HTML so it works on older Gradio versions
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| 28 |
+
gr.HTML("""
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| 29 |
+
<style>
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| 30 |
+
.tooltip-bubble {
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| 31 |
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position: relative;
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| 32 |
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display: inline-block;
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| 33 |
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cursor: help;
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| 34 |
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padding: 4px 8px;
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| 35 |
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border-radius: 6px;
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| 36 |
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border: 1px solid #ccc;
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| 37 |
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font-size: 0.85rem;
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| 38 |
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margin: 4px;
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| 39 |
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}
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| 40 |
+
.tooltip-bubble .tooltip-text {
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| 41 |
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visibility: hidden;
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| 42 |
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width: 260px;
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| 43 |
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background-color: #111;
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| 44 |
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color: #fff;
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| 45 |
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text-align: left;
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| 46 |
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border-radius: 8px;
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| 47 |
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padding: 8px 10px;
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| 48 |
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position: absolute;
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| 49 |
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z-index: 10;
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| 50 |
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bottom: 125%;
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| 51 |
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left: 50%;
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| 52 |
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transform: translateX(-50%);
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| 53 |
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opacity: 0;
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| 54 |
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transition: opacity 0.2s ease-in-out;
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| 55 |
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}
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| 56 |
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.tooltip-bubble .tooltip-text::after {
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| 57 |
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content: "";
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| 58 |
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position: absolute;
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| 59 |
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top: 100%;
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| 60 |
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left: 50%;
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| 61 |
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margin-left: -5px;
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| 62 |
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border-width: 5px;
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| 63 |
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border-style: solid;
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| 64 |
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border-color: #111 transparent transparent transparent;
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| 65 |
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}
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| 66 |
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.tooltip-bubble:hover .tooltip-text {
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| 67 |
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visibility: visible;
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| 68 |
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opacity: 1;
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| 69 |
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}
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| 70 |
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</style>
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| 71 |
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""")
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| 72 |
+
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| 73 |
+
gr.Markdown("# Steering & Ablation UI Skeleton")
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| 74 |
+
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| 75 |
+
# ----------------- 1. Cat spectacles steering -----------------
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| 76 |
+
with gr.Group():
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| 77 |
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gr.Markdown("## Steer: Add Spectacles via Mapping")
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| 78 |
+
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| 79 |
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with gr.Row():
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| 80 |
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cat_left = gr.Image(
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| 81 |
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value=CAT_IMG_URL,
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| 82 |
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label="Original cat",
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| 83 |
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interactive=False,
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| 84 |
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show_label=True
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| 85 |
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)
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| 86 |
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cat_right = gr.Image(
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| 87 |
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value=CAT_IMG_URL,
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| 88 |
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label="Steered cat (with spectacles)",
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| 89 |
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interactive=False,
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| 90 |
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show_label=True
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| 91 |
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)
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| 92 |
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| 93 |
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steer_slider = gr.Slider(
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| 94 |
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minimum=0.0,
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| 95 |
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maximum=1.0,
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value=0.0,
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step=0.05,
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| 98 |
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label="Steer (add spectacles via mapping)",
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| 99 |
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info="Placeholder: hook into your spectacles-mapping call."
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| 100 |
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)
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| 101 |
+
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| 102 |
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steer_slider.change(
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| 103 |
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fn=steer_spectacles,
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| 104 |
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inputs=steer_slider,
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outputs=[cat_left, cat_right]
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| 106 |
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)
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| 107 |
+
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| 108 |
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# ----------------- 2. Unicorns with / without horns -----------------
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| 109 |
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with gr.Group():
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| 110 |
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gr.Markdown("## Unicorns: With vs Without Horn")
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| 111 |
+
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| 112 |
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with gr.Row():
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| 113 |
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unicorn_with = gr.Image(
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| 114 |
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value=UNICORN_WITH_HORN_PATH,
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| 115 |
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label="Unicorn with horn",
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| 116 |
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interactive=False,
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| 117 |
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show_label=True
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| 118 |
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)
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| 119 |
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unicorn_without = gr.Image(
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| 120 |
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value=UNICORN_NO_HORN_PATH,
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| 121 |
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label="Unicorn without horn",
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| 122 |
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interactive=False,
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| 123 |
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show_label=True
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| 124 |
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)
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| 125 |
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| 126 |
+
# ----------------- 3. Ablation experiment -----------------
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| 127 |
+
with gr.Group():
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| 128 |
+
gr.Markdown("## Ablation Experiment")
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| 129 |
+
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| 130 |
+
with gr.Row():
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| 131 |
+
# Controls
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| 132 |
+
with gr.Column(scale=1):
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| 133 |
+
layer_dropdown = gr.Dropdown(
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| 134 |
+
choices=[
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| 135 |
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"UNet.block_1",
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| 136 |
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"UNet.block_2",
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| 137 |
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"UNet.attn_mid",
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| 138 |
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"TextEncoder.layer_5",
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| 139 |
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],
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| 140 |
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value="UNet.block_1",
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| 141 |
+
label="Layer / module to ablate",
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| 142 |
+
info="Populate with your actual layer names."
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| 143 |
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)
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+
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| 145 |
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ablation_strength = gr.Slider(
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| 146 |
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minimum=0.0,
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| 147 |
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maximum=1.0,
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| 148 |
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value=0.0,
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| 149 |
+
step=0.05,
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| 150 |
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label="Ablation strength",
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| 151 |
+
info="0 = no ablation, 1 = full ablation."
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| 152 |
+
)
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| 153 |
+
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| 154 |
+
# Output + explanation
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| 155 |
+
with gr.Column(scale=1):
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| 156 |
+
ablation_output = gr.Image(
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| 157 |
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value=None,
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| 158 |
+
label="Ablated output (placeholder)",
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| 159 |
+
interactive=False
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| 160 |
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)
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| 161 |
+
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| 162 |
+
gr.HTML("""
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| 163 |
+
<div>
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| 164 |
+
<p>
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| 165 |
+
This panel is for an <strong>ablation experiment</strong>:
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| 166 |
+
you remove or zero-out parts of the network and see how the
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| 167 |
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generated image changes.
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| 168 |
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</p>
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| 169 |
+
<div class="tooltip-bubble">
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| 170 |
+
Baseline vs ablated
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| 171 |
+
<span class="tooltip-text">
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| 172 |
+
In the real experiment, you would compare the original image
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| 173 |
+
to this ablated one to see which visual attributes the
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| 174 |
+
selected layer controls.
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| 175 |
+
</span>
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| 176 |
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</div>
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| 177 |
+
<div class="tooltip-bubble">
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| 178 |
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Layer selection
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| 179 |
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<span class="tooltip-text">
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| 180 |
+
Different layers control different levels of abstraction:
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| 181 |
+
early blocks affect global layout, mid blocks affect object
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| 182 |
+
structure, and late blocks refine texture and style.
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| 183 |
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</span>
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| 184 |
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</div>
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| 185 |
+
<div class="tooltip-bubble">
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| 186 |
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Ablation strength
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| 187 |
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<span class="tooltip-text">
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| 188 |
+
Ablation strength could interpolate from no ablation (0.0),
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| 189 |
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to partial noise / zeroing (0.5), to fully removing the
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| 190 |
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layer's contribution (1.0).
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| 191 |
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</span>
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| 192 |
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</div>
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| 193 |
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</div>
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| 194 |
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""")
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| 195 |
+
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| 196 |
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# Wire up the (dummy) ablation callback
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| 197 |
+
layer_dropdown.change(
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| 198 |
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fn=run_ablation,
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| 199 |
+
inputs=[layer_dropdown, ablation_strength],
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| 200 |
+
outputs=ablation_output,
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| 201 |
+
)
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| 202 |
+
ablation_strength.change(
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| 203 |
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fn=run_ablation,
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| 204 |
+
inputs=[layer_dropdown, ablation_strength],
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| 205 |
+
outputs=ablation_output,
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| 206 |
+
)
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| 207 |
+
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| 208 |
+
demo.launch()
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requirements.txt
ADDED
|
@@ -0,0 +1 @@
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+
gradio==4.44.1
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