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Update app.py
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app.py
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@@ -1,4 +1,5 @@
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import gradio as gr
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from datasets import load_dataset
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import numpy as np
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@@ -14,8 +15,11 @@ index = np.load("indexes/knn_10752_65.npy")
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ds = load_dataset("SDBiaseval/identities", split="train")
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def get_index(gender, ethnicity, model, no):
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def get_nearest_64(
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import gradio as gr
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import pandas as pd
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from datasets import load_dataset
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import numpy as np
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ds = load_dataset("SDBiaseval/identities", split="train")
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def get_index(gender, ethnicity, model, no):
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return df.loc[(df['ethnicity'] == ethnicity) & (df['gender'] == gender) & (df['no'] == no) & (df['model'] == model)].index[0]
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def get_nearest_64(gender, ethnicity, model, no):
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ix = get_index(gender, ethnicity, model, no)
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return ds.select(index[ix][0])["image"], ds.select(index[ix][1:])["image"]
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# demo = gr.Interface(fn=query_db, inputs="text", outputs=[gr.Image(), gr.Gallery().style(grid=[8])])
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# demo.launch(debug=True)
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