app.py

#!/usr/bin/env python

from __future__ import annotations

import argparse
import functools
import os
import pickle
import sys

import gradio as gr
import numpy as np
import torch
import torch_utils
import torch.nn as nn
from huggingface_hub import hf_hub_download
from transformers import pipeline
sys.path.insert(0, 'StyleGAN-Human')

TITLE = 'Time-TravelRephotography'
DESCRIPTION = '''This is an unofficial demo for https://github.com/Time-Travel-Rephotography.
'''
ARTICLE = '<center><img src="https://visitor-badge.glitch.me/badge?page_id=hysts.stylegan-human" alt="visitor badge"/></center>'

TOKEN = "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"


pipe = pipeline("translation", model="Helsinki-NLP/opus-mt-en-es")

def predict(text):
  return pipe(text)[0]["translation_text"]

iface = gr.Interface(
  fn=predict, 
  inputs='text',
  outputs='text',
  examples=[["Time-TravelRephotography"]]
)

iface.launch()