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Parent(s):
fe41904
pushing UI updates
Browse files- app.py +26 -4
- requirements.txt +2 -1
app.py
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import gradio as gr
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def greet(name):
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return "Hello " + name + "!!"
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import gradio as gr
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from transformers import pipeline
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classifier_pipe = pipeline("text-classification", model="LennardZuendorf/legalis-BERT", top_k=None)
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def predict_fun(text):
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predictions = classifier_pipe(text)
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return {p["label"]: p["score"] for p in predictions[0]}
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with gr.Blocks(title='Legalis') as interface:
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with gr.Row():
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gr.Markdown(
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"""
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# Legalis BERT Demo
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Start typing below to see the output.
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""")
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with gr.Row():
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with gr.Column():
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input_text = gr.Textbox(label="Case Facts")
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with gr.Row():
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predict = gr.Button("Predict")
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with gr.Column():
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label = gr.Label(label="Predicted Winner")
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with gr.Row():
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interpretation = gr.components.Interpretation(input_text, visible=False)
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predict.click(predict_fun, input_text, label)
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interface.launch()
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requirements.txt
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gradio
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gradio
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transformers
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