multimodalart HF Staff commited on
Commit
89ea543
·
verified ·
1 Parent(s): bbbb9b2

Clarify content-filter message: classifiers included by default in the Microsoft Mage Flow model

Browse files
Files changed (1) hide show
  1. app.py +3 -3
app.py CHANGED
@@ -45,7 +45,7 @@ def _blocked_image(reason_text: str, height: int = 1024, width: int = 1024) -> I
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  font = ImageFont.load_default()
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  message = (
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- "The classifiers flagged the following:\n\n" + reason_text
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  )
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  # Wrap each paragraph to a column width that fits the image.
@@ -111,7 +111,7 @@ def generate(
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  verdict = pipe_edit.model.txt_enc.screen_edit(prompt, refs)
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  if verdict.violates:
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  reason_text = _block_reason_text(verdict)
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- gr.Warning("The classifiers flagged the following: " + reason_text)
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  w, h = refs[0].size
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  return _blocked_image(reason_text, height=h, width=w)
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@@ -132,7 +132,7 @@ def generate(
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  verdict = pipe_t2i.model.txt_enc.screen_text(prompt)
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  if verdict.violates:
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  reason_text = _block_reason_text(verdict)
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- gr.Warning("The classifiers flagged the following: " + reason_text)
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  return _blocked_image(reason_text, height=int(height), width=int(width))
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  img = pipe_t2i.generate(
 
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  font = ImageFont.load_default()
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  message = (
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+ "The classifiers included by default in the Microsoft Mage Flow model flagged the following:\n\n" + reason_text
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  )
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  # Wrap each paragraph to a column width that fits the image.
 
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  verdict = pipe_edit.model.txt_enc.screen_edit(prompt, refs)
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  if verdict.violates:
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  reason_text = _block_reason_text(verdict)
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+ gr.Warning("The classifiers included by default in the Microsoft Mage Flow model flagged the following: " + reason_text)
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  w, h = refs[0].size
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  return _blocked_image(reason_text, height=h, width=w)
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  verdict = pipe_t2i.model.txt_enc.screen_text(prompt)
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  if verdict.violates:
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  reason_text = _block_reason_text(verdict)
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+ gr.Warning("The classifiers included by default in the Microsoft Mage Flow model flagged the following: " + reason_text)
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  return _blocked_image(reason_text, height=int(height), width=int(width))
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  img = pipe_t2i.generate(