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import gradio as gr | |
from transformers import pipeline | |
def SetContext(textfile): | |
context = "" | |
with open(textfile, 'r') as file: | |
context = file.read() | |
return context | |
context = SetContext('WritingCarePlans.txt') # open text file fill textbox | |
question = "What should be documented in a care plan?" | |
title = "Transformers - Sentence to Paragraph - For Mindfulness" | |
examples = [ | |
["Break the cycle of stress and anxiety"], | |
["Feel calm in stressful situations"], | |
["Deal with work pressure"], | |
["Learn to reduce feelings of overwhelmed"] | |
] | |
model1 = gr.Interface.load("huggingface/deepset/roberta-base-squad2") | |
def f1(inputs): | |
#query =[[inputs[0]],[inputs[1]] | |
examples=[['My name is Sarah and I live in London','Where do I live?']] | |
return model1(examples) | |
demo = gr.Blocks() | |
with demo: | |
inputs=[gr.inputs.Textbox(lines=40, default=context, label="Context paragraph"),gr.inputs.Textbox(lines=10, default=question, label="Question")] | |
out1=gr.Textbox() | |
b1 = gr.Button("roberta") | |
#inp = gr.Textbox(placeholder="What is a care plan for?") | |
inputs[1].change(fn=f1, | |
inputs=inputs, | |
outputs=out1) | |
b1.click(fn=f1, inputs=inputs, outputs=out1) | |
demo.launch() |