Update app.py
Browse files
app.py
CHANGED
@@ -30,11 +30,11 @@ def predict(text):
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with gr.Blocks(analytics_enabled=False) as demo:
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gr.Markdown("""
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## KInIT Multilingual Machine-Generated Text Detector
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Trained on [MULTITuDE](https://aclanthology.org/2023.emnlp-main.616/) (news articles) and [MultiSocial](https://arxiv.org/abs/2406.12549) (social media texts) texts in 22 languages.
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""")
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gr.Markdown("""
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**Disclaimer: The detector is based on AI transformer model and is NOT 100% accurate! Usage is intended for research purpose only, as an indicator. Do not use it for direct decision making!**""")
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gr.Markdown("""To generate exemplar text by a large language model, you can use [HuggingFace Chat](https://huggingface.co/chat/).""")
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t1 = gr.Textbox(lines=10, label='Text',value="Put your text (in any language) in here to try out our multilingual machine-generated text detector.")
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button1 = gr.Button("Run detection")
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with gr.Blocks(analytics_enabled=False) as demo:
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gr.Markdown("""
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## DEMO: KInIT Multilingual Machine-Generated Text Detector
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Trained on [MULTITuDE](https://aclanthology.org/2023.emnlp-main.616/) (news articles) and [MultiSocial](https://arxiv.org/abs/2406.12549) (social media texts) texts in 22 languages.
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""")
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gr.Markdown("""
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**Disclaimer: This is a DEMO for showcase, not the final tool. The detector is based on AI transformer model and is NOT 100% accurate! Usage is intended for research purpose only, as an indicator. Do not use it for direct decision making!**""")
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gr.Markdown("""To generate exemplar text by a large language model, you can use [HuggingFace Chat](https://huggingface.co/chat/).""")
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t1 = gr.Textbox(lines=10, label='Text',value="Put your text (in any language) in here to try out our multilingual machine-generated text detector.")
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button1 = gr.Button("Run detection")
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