from huggingface_hub import from_pretrained_fastai
import gradio as gr
from fastai.text.all import *

# repo_id = "YOUR_USERNAME/YOUR_LEARNER_NAME"
repo_id = 'Katowise/pr7'

learner = from_pretrained_fastai(repo_id)
labels = learner.dls.vocab

# Definimos una función que se encarga de llevar a cabo las predicciones
def predict(text):
    pred, pred_idx, probs = learner.predict(text)
    return {labels[i]: float(probs[i]) for i in range(len(labels))}
    
# Creamos la interfaz y la lanzamos.
iface = gr.Interface(fn=predict, inputs=gr.inputs.Textbox(lines=1), outputs=gr.outputs.Label(num_top_classes=1))
iface.launch(share=False)