chore: update
Browse files
app.py
CHANGED
@@ -336,9 +336,6 @@ def decrypt_output(user_id, filter_name):
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well as two booleans used for resetting Gradio checkboxes
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"""
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print("Decrypt output ------------------------------------------------")
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if user_id == "":
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raise gr.Error("Please generate the private key first.")
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@@ -364,17 +361,12 @@ def decrypt_output(user_id, filter_name):
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def resize_img(img, width=256, height=256):
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print("Reshape img before", img.shape, type(img))
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if img.dtype != numpy.uint8:
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img = img.astype(numpy.uint8)
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img_pil = Image.fromarray(img)
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print(type(img_pil))
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# Resize the image
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resized_img_pil = img_pil.resize((width, height))
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print("Reshape img before", resized_img_pil.size)
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# Convert back to a NumPy array
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return numpy.array(resized_img_pil)
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@@ -555,9 +547,6 @@ with demo:
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outputs=[output_image, keygen_checkbox, send_input_checkbox],
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)
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input_image.change(fn=resize_img, inputs=input_image, outputs=input_image)
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gr.Markdown(
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"The app was built with [Concrete-ML](https://github.com/zama-ai/concrete-ml), a "
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"Privacy-Preserving Machine Learning (PPML) open-source set of tools by [Zama](https://zama.ai/). "
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well as two booleans used for resetting Gradio checkboxes
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"""
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if user_id == "":
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raise gr.Error("Please generate the private key first.")
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def resize_img(img, width=256, height=256):
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+
"""Resize the image."""
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if img.dtype != numpy.uint8:
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img = img.astype(numpy.uint8)
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img_pil = Image.fromarray(img)
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# Resize the image
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resized_img_pil = img_pil.resize((width, height))
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# Convert back to a NumPy array
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return numpy.array(resized_img_pil)
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outputs=[output_image, keygen_checkbox, send_input_checkbox],
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)
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gr.Markdown(
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"The app was built with [Concrete-ML](https://github.com/zama-ai/concrete-ml), a "
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"Privacy-Preserving Machine Learning (PPML) open-source set of tools by [Zama](https://zama.ai/). "
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