Spaces:
Running
Running
Commit
·
911b4eb
1
Parent(s):
da1ebea
UI - theme
Browse files
app.py
CHANGED
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@@ -49,37 +49,23 @@ def classify_text(text):
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title = "AI Text Detector"
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description = """
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Detect AI-generated texts with precision using the new **ModernBERT** model, fine-tuned for machine-generated text detection, and capable of identifying 40 different models.
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**Note:** The longer the text, the better the detection accuracy.
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"""
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bottom_text = "**AI detection tool by SzegedAI**"
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iface = gr.
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fn=classify_text,
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inputs=gr.Textbox(
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label="Enter Text for Analysis",
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placeholder="Type or paste your content here...",
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lines=5,
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elem_id="text_input_box"
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),
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outputs=gr.Markdown(elem_id="result_output_box"),
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title=title,
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description=description,
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allow_flagging="never",
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live=True,
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css="""
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#text_input_box {
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border-radius: 10px;
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border: 2px solid #4CAF50;
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font-size: 18px;
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padding: 15px;
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margin-bottom: 20px;
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width: 100%;
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box-sizing: border-box;
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}
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@@ -137,12 +123,15 @@ iface = gr.Interface(
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font-size: 20px;
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color: #E1E1E6;
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}
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iface.launch(share=True)
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print(bottom_text)
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if __name__ == "__main__":
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launch_app()
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title = "AI Text Detector"
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description = """
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**AI detection tool by SzegedAI**
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Detect AI-generated texts with precision using the new **ModernBERT** model, fine-tuned for machine-generated text detection, and capable of identifying 40 different models.
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- **🤖 Identify AI Models**: Reveals which LLM generated the text if detected as AI.
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- **✅ Human Verification**: Marks confidently human-written text with a green checkmark.
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**Note:** The longer the text, the better the detection accuracy.
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"""
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bottom_text = "**AI detection tool by SzegedAI**"
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iface = gr.Blocks(css="""
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#text_input_box {
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border-radius: 10px;
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border: 2px solid #4CAF50;
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font-size: 18px;
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width: 100%;
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box-sizing: border-box;
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}
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font-size: 20px;
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color: #E1E1E6;
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}
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""")
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with iface:
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gr.Markdown(f"# {title}")
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gr.Markdown(description)
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text_input = gr.Textbox(label="Enter Text for Analysis", placeholder="Type or paste your content here...", elem_id="text_input_box", lines=5)
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result_output = gr.Markdown("**Results will appear here...**", elem_id="result_output_box")
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text_input.change(classify_text, inputs=text_input, outputs=result_output)
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gr.Markdown(bottom_text, elem_id="bottom_text")
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iface.launch(share=True)
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