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e716049
experiment
Browse files
__pycache__/absa_evaluator.cpython-39.pyc
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__pycache__/preprocessing.cpython-310.pyc
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__pycache__/preprocessing.cpython-39.pyc
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app.py
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from
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import gradio as gr
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from absa_evaluator import AbsaEvaluatorTest
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def evaluate_texts(predictions, references):
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evaluator = AbsaEvaluatorTest()
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return evaluator.compute(predictions, references)
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def main():
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iface = gr.Interface(
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fn=evaluate_texts, # The evaluation function you want to use
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inputs=[
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gr.Textbox(lines=2, placeholder="Enter Predictions Here..."),
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gr.Textbox(lines=2, placeholder="Enter References Here...")
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],
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outputs=gr.Textbox()
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)
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iface.launch()
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if __name__ == "__main__":
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main()
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requirements.txt
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git+https://github.com/huggingface/evaluate@a4bdc10c48a450b978d91389a48dbb5297835c7d
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scikit-learn
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git+https://github.com/huggingface/evaluate@a4bdc10c48a450b978d91389a48dbb5297835c7d
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scikit-learn
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gradio
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