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



# repo_id = "YOUR_USERNAME/YOUR_LEARNER_NAME"
repo_id = "mabakaik/clasificadorTexto"

learner = from_pretrained_fastai(repo_id)
labels = learner.dls.vocab[1]

if isinstance(labels, list) and all(isinstance(label, list) for label in labels):
    labels = [item for sublist in labels for item in sublist]

# Definimos una función que se encarga de llevar a cabo las predicciones
def predict(text):
    pred, pred_idx, probs = learner.predict(text)
    return {str(labels[i]): float(probs[i]) for i in range(len(labels))}
    
# Creamos la interfaz y la lanzamos. 
gr.Interface(fn=predict, inputs=gr.inputs.Textbox(lines=5, placeholder="Introduce tu texto aquí..."), 
             outputs=gr.outputs.Label(num_top_classes=4),
             examples=['What is this?', 'That is awfull']).launch(share=False)