AhmedSSabir commited on
Commit
a649b4a
1 Parent(s): dade302

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +9 -11
app.py CHANGED
@@ -140,20 +140,21 @@ def cos_sim(a, b):
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  #def Visual_re_ranker(caption, visual_context_label, visual_context_prob):
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- def Visual_re_ranker(caption_man, caption_woman, visual_context_label, visual_context_prob):
 
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  caption_man = caption_man
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  caption_woman = caption_woman
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- visual_context_label= visual_context_label
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- visual_context_prob = visual_context_prob
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  caption_emb_man = model_sts.encode(caption_man, convert_to_tensor=True)
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  caption_emb_woman = model_sts.encode(caption_woman, convert_to_tensor=True)
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- visual_context_label_emb = model_sts.encode(visual_context_label, convert_to_tensor=True)
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- sim_m = cosine_scores = util.pytorch_cos_sim(caption_emb_man, visual_context_label_emb)
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  sim_m = sim_m.cpu().numpy()
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  sim_m = get_sim(sim_m)
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- sim_w = cosine_scores = util.pytorch_cos_sim(caption_emb_woman, visual_context_label_emb)
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  sim_w = sim_w.cpu().numpy()
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  sim_w = get_sim(sim_w)
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@@ -161,10 +162,8 @@ def Visual_re_ranker(caption_man, caption_woman, visual_context_label, visual_co
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  LM_man = cloze_prob(caption_man)
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  LM_woman = cloze_prob(caption_woman)
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  #LM = scorer.sentence_score(caption, reduce="mean")
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- score_man = pow(float(LM_man),pow((1-float(sim_m))/(1+ float(sim_m)),1-float(visual_context_prob)))
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- score_woman = pow(float(LM_woman),pow((1-float(sim_w))/(1+ float(sim_w)),1-float(visual_context_prob)))
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-
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-
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  #return {"LM": float(LM)/1, "sim": float(sim)/1, "score": float(score)/1 }
@@ -174,7 +173,6 @@ def Visual_re_ranker(caption_man, caption_woman, visual_context_label, visual_co
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-
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  demo = gr.Interface(
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  fn=Visual_re_ranker,
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  description="Demo for Women Wearing Lipstick: Measuring the Bias Between Object and Its Related Gender -Arabic",
 
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  #def Visual_re_ranker(caption, visual_context_label, visual_context_prob):
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+
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+ def Visual_re_ranker(caption_man, caption_woman, context_label, context_prob):
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  caption_man = caption_man
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  caption_woman = caption_woman
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+ context_label= context_label
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+ context_prob = context_prob
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  caption_emb_man = model_sts.encode(caption_man, convert_to_tensor=True)
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  caption_emb_woman = model_sts.encode(caption_woman, convert_to_tensor=True)
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+ context_label_emb = model_sts.encode(context_label, convert_to_tensor=True)
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+ sim_m = cosine_scores = util.pytorch_cos_sim(caption_emb_man, context_label_emb)
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  sim_m = sim_m.cpu().numpy()
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  sim_m = get_sim(sim_m)
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+ sim_w = cosine_scores = util.pytorch_cos_sim(caption_emb_woman, context_label_emb)
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  sim_w = sim_w.cpu().numpy()
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  sim_w = get_sim(sim_w)
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  LM_man = cloze_prob(caption_man)
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  LM_woman = cloze_prob(caption_woman)
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  #LM = scorer.sentence_score(caption, reduce="mean")
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+ score_man = pow(float(LM_man),pow((1-float(sim_m))/(1+ float(sim_m)),1-float(context_prob)))
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+ score_woman = pow(float(LM_woman),pow((1-float(sim_w))/(1+ float(sim_w)),1-float(context_prob)))
 
 
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  #return {"LM": float(LM)/1, "sim": float(sim)/1, "score": float(score)/1 }
 
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  demo = gr.Interface(
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  fn=Visual_re_ranker,
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  description="Demo for Women Wearing Lipstick: Measuring the Bias Between Object and Its Related Gender -Arabic",