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Update app.py
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app.py
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from huggingface_hub import from_pretrained_fastai
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import gradio as gr
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from blurr.text.modeling.all import *
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learn = from_pretrained_fastai("arshy/medicalspecialty-deberta")
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def predict(learn, inp:str):
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preds = learn.blurr_predict([inp])[0]
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preds_dict = dict(zip(preds['class_labels'], preds['probs']))
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preds_dict = sorted(preds_dict.items(), key=operator.itemgetter(1), reverse=True)[:5]
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preds_df = pd.DataFrame(preds_dict, columns=['Specialty', 'Probability'])
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return preds_df
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text = gr.inputs.Textbox()
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output = gr.outputs.Dataframe()
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intf = gr.Interface(fn=predict, inputs=text, outputs=output)
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intf.launch()
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