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

repo_id = "ancebuc/entregable3"

learner = from_pretrained_fastai(repo_id)
labels = ['Sadness', 'Joy', 'Love', 'Anger', 'Fear', 'Surprise']

    
# Definimos una función que se encarga de llevar a cabo las predicciones
def predict(text):
    #img = PILImage.create(img)
    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. 
gr.Interface(fn=predict, inputs=gr.inputs.Textbox(), outputs=gr.outputs.Label()).launch(share=False)