Spaces:
Running
on
L4
Running
on
L4
Update app.py
Browse files
app.py
CHANGED
@@ -119,16 +119,57 @@ def predict(content, policy):
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return f'NO MATCHES (i.e., non-violating)'
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# Create
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# Launch the app
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iface.launch(show_api=False)
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return f'NO MATCHES (i.e., non-violating)'
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# Create the interface
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with gr.Blocks(api_name=False) as demo:
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with gr.Row():
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# Left column with inputs
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with gr.Column(scale=1):
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input1 = gr.Textbox(label="Content", lines=2, value=DEFAULT_CONTENT)
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input2 = gr.Textbox(label="Policy", lines=8, value=DEFAULT_POLICY)
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# Right column with output
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with gr.Column(scale=1):
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output = gr.Textbox(label="Result")
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# Button below inputs
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submit_btn = gr.Button("Submit")
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# Markdown content below the output
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gr.Markdown("""
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# Usage Instructions
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This interface allows you to process two inputs and see the results.
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## Features
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1. Two input text boxes for versatile data entry
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2. Real-time processing
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3. Clear output display
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## How to Use
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1. Enter your first input in the left text box
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2. Enter your second input in the right text box
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3. Click the "Process" button to see results
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## Notes
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- Both inputs are required for processing
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- The output will be displayed in the right column
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- Results are generated instantly
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## Additional Information
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This interface is built using Gradio, a Python library for creating easy-to-use web interfaces for machine learning models and data processing functions.
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""")
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# Set up the processing function
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submit_btn.click(
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fn=predict,
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inputs=[input1, input2],
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outputs=output
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)
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# Launch the interface
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demo.launch(show_api=False)
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