from huggingface_hub import from_pretrained_fastai
import gradio as gr
from blurr.text.modeling.all import *

learn = from_pretrained_fastai("arshy/medicalspecialty-deberta")

def predict(learn, inp:str):
    preds = learn.blurr_predict([inp])[0]
    preds_dict = dict(zip(preds['class_labels'], preds['probs']))
    preds_dict = sorted(preds_dict.items(), key=operator.itemgetter(1), reverse=True)[:5]
    preds_df = pd.DataFrame(preds_dict, columns=['Specialty', 'Probability'])

    return preds_df
    
text = gr.inputs.Textbox()
output = gr.outputs.Dataframe()

intf = gr.Interface(fn=predict, inputs=text, outputs=output)
intf.launch()