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