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Update app.py
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app.py
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import gradio as gr
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context = "
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context =
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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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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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import gradio as gr
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from transformers import pipeline
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context = ""
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def SetContext(textfile):
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with open(textfile, 'r') as file:
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context = file.read()
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SetContext('WritingCarePlans.txt')
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question = "What should be documented in a care plan?"
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title = "Transformers - Sentence to Paragraph - For Mindfulness"
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examples = [
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["Break the cycle of stress and anxiety"],
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["Feel calm in stressful situations"],
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["Deal with work pressure"],
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["Learn to reduce feelings of overwhelmed"]
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]
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model1 = gr.Interface.load("huggingface/deepset/roberta-base-squad2")
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def f1(x):
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return model1(x)
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demo = gr.Blocks()
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with demo:
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inputs1=[gr.inputs.Textbox(lines=40, default=context, label="Context paragraph"),gr.inputs.Textbox(lines=10, default=question, label="Question")]
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out1=gr.Textbox()
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b1 = gr.Button("roberta")
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"""
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# Enter a new context paragraph or new question to ask questions about the context content
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""")
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inp = gr.Textbox(placeholder="What is a care plan for?")
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inp.change(fn=f1,
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inputs=inputs1,
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outputs=out1)
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demo.launch()
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