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Probing-Vis-Literacy-of-VLMs

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AustingDong commited on Mar 7

Commit

39961f4

1 Parent(s): fab7ddf

Update app.py

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Files changed (1) hide show

app.py +5 -5

app.py CHANGED Viewed

@@ -194,7 +194,7 @@ def model_slider_change(model_type):
         language_model_best_layer = 8
         res = (
-            gr.Dropdown(choices=["Visualization only", "answer + visualization"], value="Visualization only", label="response_type"),
             gr.Slider(minimum=1, maximum=24, value=24, step=1, label="visualization layers min"),
             gr.Slider(minimum=1, maximum=24, value=24, step=1, label="visualization layers max"),
             gr.Dropdown(choices=["Visual Encoder", "Language Model"], value="Visual Encoder", label="focus"),
@@ -212,9 +212,9 @@ def model_slider_change(model_type):
         language_model_best_layer = 10
         res = (
-            gr.Dropdown(choices=["Visualization only", "answer + visualization"], value="Visualization only", label="response_type"),
-            gr.Slider(minimum=1, maximum=32, value=24, step=1, label="visualization layers min"),
-            gr.Slider(minimum=1, maximum=32, value=24, step=1, label="visualization layers max"),
             gr.Dropdown(choices=["Language Model"], value="Language Model", label="focus"),
             gr.Dropdown(choices=["GradCAM"], value="GradCAM", label="activation map type")
         )
@@ -229,7 +229,7 @@ def model_slider_change(model_type):
         language_model_best_layer = 15
         res = (
-            gr.Dropdown(choices=["Visualization only", "answer + visualization"], value="Visualization only", label="response_type"),
             gr.Slider(minimum=1, maximum=18, value=15, step=1, label="visualization layers min"),
             gr.Slider(minimum=1, maximum=18, value=15, step=1, label="visualization layers max"),
             gr.Dropdown(choices=["Language Model"], value="Language Model", label="focus"),

         language_model_best_layer = 8
         res = (
+            gr.Dropdown(choices=["Visualization only", "answer + visualization"], value="answer + visualization", label="response_type"),
             gr.Slider(minimum=1, maximum=24, value=24, step=1, label="visualization layers min"),
             gr.Slider(minimum=1, maximum=24, value=24, step=1, label="visualization layers max"),
             gr.Dropdown(choices=["Visual Encoder", "Language Model"], value="Visual Encoder", label="focus"),
         language_model_best_layer = 10
         res = (
+            gr.Dropdown(choices=["Visualization only", "answer + visualization"], value="answer + visualization", label="response_type"),
+            gr.Slider(minimum=1, maximum=32, value=10, step=1, label="visualization layers min"),
+            gr.Slider(minimum=1, maximum=32, value=10, step=1, label="visualization layers max"),
             gr.Dropdown(choices=["Language Model"], value="Language Model", label="focus"),
             gr.Dropdown(choices=["GradCAM"], value="GradCAM", label="activation map type")
         )
         language_model_best_layer = 15
         res = (
+            gr.Dropdown(choices=["Visualization only", "answer + visualization"], value="answer + visualization", label="response_type"),
             gr.Slider(minimum=1, maximum=18, value=15, step=1, label="visualization layers min"),
             gr.Slider(minimum=1, maximum=18, value=15, step=1, label="visualization layers max"),
             gr.Dropdown(choices=["Language Model"], value="Language Model", label="focus"),