app.py

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 = "KaraSpdrnr/language-predictor"

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

# Definimos una función que se encarga de llevar a cabo las predicciones
def predict(txt):
    pred, pred_idx, probs = learner.predict(txt)
    print(pred)
    print(pred_idx)
    print(probs)
    label = str(pred)  # Convertir la etiqueta predicha a cadena
    print(label[1])
    return {label: float(probs[pred_idx])}


examples = [
    ["Este es un ejemplo de texto en español."],
    ["This is an example that should return en."],
    ["هذا النص جميل جداً وهو عربي"],
    ["Този текст е много красив и български"],
    ["これは日本語でも中国語との違いが分かる素晴らしいフレーズです。"]
]
    
# Creamos la interfaz y la lanzamos. 
gr.Interface(fn=predict, inputs=gr.inputs.Textbox(lines=5, label="Ingrese el texto"), outputs=gr.outputs.Label(num_top_classes=3),examples=examples).launch(share=False)