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1bece58
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Create app.py

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  1. app.py +77 -0
app.py ADDED
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+ import json
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+
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+ import gradio as gr
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+ from paddlenlp import Taskflow
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+
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+ model_name = "uie-base-en"
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+
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+ task_instance = Taskflow("information_extraction", model=model_name)
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+
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+
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+ def analyze(text, schema_name):
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+
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+
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+ schema = schemas.get(schema_name.split()[0])
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+ if schema is None:
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+ return {"error": "Bad schema"}
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+
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+ task_instance.set_schema(schema)
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+ # task_instance.set_argument(argument)
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+
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+ try:
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+ result = task_instance(text)
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+ except Exception as e:
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+ return {"error": e}
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+
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+ return result
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+
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+
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+
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+ schema_choices = [
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+ "Entities (people, organizations, locations, date)",
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+ "Relation1 (person, work for)",
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+ "Event1 (start job, [date, company, employee])",
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+
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+ # "Event2 ("
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+ ]
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+
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+ examples = [
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+ ["Nicholas is an engineer working at a company called Hugging Face.", schema_choices[0]],
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+ ["Nicholas is an engineer working at a company called Hugging Face.", schema_choices[1]],
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+ ["Chris Wigley was appointed CEO of Genomics England, starting in October 2019.", schema_choices[2]],
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+ ["Chris Wigley was appointed CEO of Genomics England, starting in October 2019.", schema_choices[1]],
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+ ["Wigley is a former McKinsey executive known for applying machine learning and artificial intelligence technology", schema_choices[0]],
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+ ]
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+
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+ schemas = {
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+ # Entity Extraction
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+ "Entities": ['Person', 'Organization', 'Location'],
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+ "Relation1": [{"Person":["work for"]}],
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+ "Event1": [{'start-position': ['date', "company", "employee"]}],
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+ }
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+
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+ with gr.Blocks() as demo:
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+ gr.Markdown("# Universal Information Extraction (UIE) \n\n \
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+ For Genomics England Workshop \
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+ ")
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+
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+ with gr.Row():
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+ with gr.Column():
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+ schema = gr.Dropdown(choices=schema_choices, value=schema_choices[0])
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+ # schema_setup = gr.Textbox(label="Schema setup", placeholder=json.dumps(schemas[schema]))
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+ text_input = gr.Textbox(label="Text Input", placeholder=examples[0])
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+ example_textbox1 = gr.Textbox(visible=False)
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+ example_textbox2 = gr.Textbox(visible=False)
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+ gr.Examples(
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+ examples=examples,
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+ inputs=[example_textbox1, example_textbox2]
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+ )
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+ with gr.Column():
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+ btn = gr.Button("Run model")
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+ json_output = gr.JSON(label="JSON Output")
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+
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+
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+ example_textbox1.change(fn=lambda x, y: (x, y), inputs=[example_textbox1, example_textbox2], outputs=[text_input, schema])
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+ btn.click(fn=analyze, inputs=[text_input, schema], outputs=json_output)
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+
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+ demo.launch(debug=True, )