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app.py
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mport gradio as gr
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context = "What should be documented in a care plan?\n"
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context = context + "Regardless of what your preferences are, your care plan should include:\n"
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context = context + "What your assessed care needs are.\n"
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context = context + "What type of support you should receive.\n"
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context = context + "Your desired outcomes.\n"
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context = context + "Who should provide care.\n"
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context = context + "When care and support should be provided.\n"
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context = context + "Records of care provided.\n"
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context = context + "Your wishes and personal preferences.\n"
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context = context + "The costs of the services.\n"
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context = context + "Dimensions\n"
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context = context + "1-Ontology of Plan\n"
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context = context + "2-Problems as evidenced by Signs of Systems\n"
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context = context + "3-Assessment of Needs\n"
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context = context + "4-Questions about problems faced\n"
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context = context + "5-Goals for long and short term improvements\n"
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context = context + "6-Knowledge-Behavior-Status Quality Measures\n"
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context = context + "7-Intervention List of Options\n"
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context = context + "8-Quality Measures\n"
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context = context + "9-Pathways Available\n"
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with open('WritingCarePlans.txt', 'r') as file:
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context = file.read()
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question = "What should be documented in a care plan?"
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gr.Interface.load(
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"huggingface/deepset/roberta-base-squad2",
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theme="default",
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css=".footer{display:none !important}",
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inputs=[gr.inputs.Textbox(lines=12, default=context, label="Context paragraph"), gr.inputs.Textbox(lines=3, default=question, label="Question")],
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outputs=[gr.outputs.Textbox(label="Answer"), gr.outputs.Textbox(label="Score")],
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title=None,
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description="Provide your own paragraph and ask any question about the text. How well does the model answer?").launch()
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