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Commit
•
107357d
1
Parent(s):
6de1a1d
fix dropdown choices pd list
Browse files
app_text_classification.py
CHANGED
@@ -81,7 +81,6 @@ def get_demo():
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column_mappings.append(gr.Dropdown(visible=False))
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with gr.Accordion(label="Model Wrap Advance Config", open=True):
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-
run_local = gr.Checkbox(value=False, label="Run with Local Model Inference (pipeline)")
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run_inference = gr.Checkbox(value=True, label="Run with Inference API")
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inference_token = gr.Textbox(
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value="",
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@@ -89,6 +88,8 @@ def get_demo():
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visible=True,
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interactive=True,
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)
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with gr.Accordion(label="Scanner Advance Config (optional)", open=False):
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scanners = gr.CheckboxGroup(label="Scan Settings", visible=True)
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column_mappings.append(gr.Dropdown(visible=False))
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with gr.Accordion(label="Model Wrap Advance Config", open=True):
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run_inference = gr.Checkbox(value=True, label="Run with Inference API")
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inference_token = gr.Textbox(
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value="",
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visible=True,
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interactive=True,
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)
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+
run_local = gr.Checkbox(value=False, label="Run Locally with Pipeline [Slow]")
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+
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with gr.Accordion(label="Scanner Advance Config (optional)", open=False):
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scanners = gr.CheckboxGroup(label="Scan Settings", visible=True)
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text_classification_ui_helpers.py
CHANGED
@@ -47,9 +47,10 @@ def get_related_datasets_from_leaderboard(model_id):
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records = leaderboard.records
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model_records = records[records["model_id"] == model_id]
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datasets_unique = model_records["dataset_id"].unique()
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-
all_unique_datasets = records["dataset_id"].unique()
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if len(datasets_unique) == 0:
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-
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return gr.update(choices=datasets_unique, value=datasets_unique[0])
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records = leaderboard.records
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model_records = records[records["model_id"] == model_id]
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datasets_unique = model_records["dataset_id"].unique()
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if len(datasets_unique) == 0:
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all_unique_datasets = list(records["dataset_id"].unique())
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print(type(all_unique_datasets), all_unique_datasets)
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return gr.update(choices=all_unique_datasets, value="")
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return gr.update(choices=datasets_unique, value=datasets_unique[0])
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