#!/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 = '
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' 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=[["Hello! My name is Omar"]] ) iface.launch()