Spaces:
Runtime error
Runtime error
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Β·
1e0df6e
1
Parent(s):
9950333
Update app.py
Browse files
app.py
CHANGED
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@@ -10,7 +10,7 @@ hf_writer = gr.HuggingFaceDatasetSaver(
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principles = [
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{
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"title": "Consentful",
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"content": """
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[What is consentful tech?](https://www.consentfultech.io)
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Consentful technology supports the self-determination of people who use and are affected by these technologies.
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@@ -23,7 +23,7 @@ principles = [
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"""
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},
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{
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"title": "Sustainable",
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"content": """
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These are Spaces that highlight and explore techniques for making machine learning ecologically sustainable.
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@@ -34,7 +34,7 @@ principles = [
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"""
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},
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{
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"title": "Socially Conscious",
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"content": """
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"Socially Conscious" Spaces show us how machine learning can be applied as a force for *good*!
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@@ -47,7 +47,7 @@ principles = [
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"""
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},
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{
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"title": "Inclusive",
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"content": """
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These are projects which broaden the scope of who *builds* and *benefits* in the machine learning world.
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@@ -59,7 +59,7 @@ principles = [
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"""
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},
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{
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"title": "Rigorous",
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"content": """
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Among the many concerns that go into creating new models is a seemingly simple question: "Does it work?"
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@@ -76,7 +76,7 @@ principles = [
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"""
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},
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{
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"title": "Inquisitive",
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"content": """
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Some projects take a radical new approach to concepts which may have become commonplace. These projects, often
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rooted in critical theory, shine a light on inequities and power structures which challenge the community to
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principles = [
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{
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"title": "π€ Consentful",
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"content": """
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[What is consentful tech?](https://www.consentfultech.io)
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Consentful technology supports the self-determination of people who use and are affected by these technologies.
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"""
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},
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{
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"title": "π Sustainable",
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"content": """
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These are Spaces that highlight and explore techniques for making machine learning ecologically sustainable.
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"""
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},
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{
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"title": "ποΈβπ¨οΈ Socially Conscious",
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"content": """
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"Socially Conscious" Spaces show us how machine learning can be applied as a force for *good*!
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"""
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},
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{
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"title": "π§βπ€βπ§ Inclusive",
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"content": """
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These are projects which broaden the scope of who *builds* and *benefits* in the machine learning world.
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"""
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},
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{
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"title": "βοΈ Rigorous",
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"content": """
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Among the many concerns that go into creating new models is a seemingly simple question: "Does it work?"
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"""
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},
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{
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"title": "π€ Inquisitive",
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"content": """
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Some projects take a radical new approach to concepts which may have become commonplace. These projects, often
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rooted in critical theory, shine a light on inequities and power structures which challenge the community to
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