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import os
import requests
import numpy as np
from PIL import Image
import gradio as gr
def gen_image(desc: str):
"""generate the image from the wukong huahua model of ascend server in Wuhan AICC
Args:
desc(str): the input description text
"""
if not desc:
return
access_token = os.environ['token']
headers = {'content-type': "application/json", 'X-Subject-Token': access_token}
url = f"https://a2f051d4cabf45f885d7b0108edc9b9c.infer.ovaijisuan.com/v1/infers/dce9ad51-7cde-4eeb-8291-ae29f267ed2c/wukong-hf"
body = {
"desc": desc,
"style": ""
}
resp_data = requests.post(url, json=body, headers=headers)
if resp_data['status'] != 200:
return []
img_np = resp_data['output_image_list'][0]
image = Image.fromarray(np.uint8(img_np))
return [image]
examples = [
'天空之城 赛博朋克 动漫',
'秋水共长天一色',
'海滩 蓝天 美景',
'教堂 巴洛克风格',
'落日 莫奈',
'来自深渊 雪山飞狐'
]
block = gr.Blocks()
with block:
with gr.Group():
with gr.Box():
with gr.Row().style(mobile_collapse=False, equal_height=True):
text = gr.Textbox(
label="Desc",
show_label=False,
max_lines=1,
placeholder="输入中文，生成图片",
).style(
border=(True, False, True, True),
rounded=(True, False, False, True),
container=False,
)
btn = gr.Button("Generate image").style(
margin=False,
rounded=(False, True, True, False),
)
gallery = gr.Gallery(
label="Generated images", show_label=False, elem_id="gallery"
).style(grid=[1, 1], height="auto")
gr.Examples(examples=examples, fn=gen_image, inputs=text, outputs=gallery)
block.queue(concurrency_count=3).launch(debug=True)
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