| from fastai.text.all import * |
| import gradio as gr |
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| learn = load_learner('model.pkl') |
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| description = "GPTers_MedMax(메드맥스)_v1.2" |
| categories = (['알러지', '빈혈', '기관지염', '당뇨', '장염', '피로', '독감', '말라리아', '스트레스']) |
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| def classify_text(txt): |
| pred,idx,probs = learn.predict(txt) |
| return dict(zip(categories, map(float,probs))) |
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| text = gr.inputs.Textbox(lines=2, label='당신의 증상을 "영어로" 작성해 주세요') |
| label = gr.outputs.Label() |
| examples = ['I am always thirsty and less activity', 'I have fever and cough', 'My face is so pale', 'I have skin rashes after eating crabs', 'I can not sleep well in the night'] |
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| intf = gr.Interface(fn=classify_text, inputs=text, outputs=label, examples=examples, description=description) |
| intf.launch(inline=False) |
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