File size: 3,274 Bytes
b2d8b5f
 
c1baaf9
 
 
 
 
 
 
 
b2d8b5f
9853001
2966162
27f20ae
2966162
b2d8b5f
c1baaf9
 
 
 
 
 
 
 
 
 
 
 
 
5397f8c
6157ff2
c4b6aba
 
 
 
 
5397f8c
9429caf
d731e54
c1baaf9
 
d731e54
 
c1baaf9
c21bde5
c1baaf9
f8c8f5b
2966162
f8c8f5b
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2966162
 
 
f8c8f5b
2966162
 
 
f8c8f5b
2966162
5397f8c
 
 
 
 
 
 
 
 
 
fdafbf3
2966162
c1baaf9
2966162
c1baaf9
5397f8c
4bec246
 
105b405
4bec246
c1baaf9
95b51af
2966162
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
import gradio as gr
import os
import sys
from pathlib import Path
import random
import string
import time
from queue import Queue
from threading import Thread
import emoji

text_gen = gr.Interface.load("models/dreamlike-art/dreamlike-diffusion-1.0")

proc1 = gr.Interface.load("models/dreamlike-art/dreamlike-diffusion-1.0")


def restart_script_periodically():
    while True:
        random_time = random.randint(540, 600)
        time.sleep(random_time)
        os.execl(sys.executable, sys.executable, *sys.argv)


restart_thread = Thread(target=restart_script_periodically, daemon=True)
restart_thread.start()

queue = Queue()
queue_threshold = 100

def send_it1(prompt_marka,prompt_seri,prompt_model,prompt_yil,prompt_car,proc1=proc1):
    #prompts = f"dreamlikeart, Brand: {prompt_marka}  / Series: {prompt_seri}  / Model: {prompt_model}  / Year: {prompt_yil} / Show the car in a showroom (studio). Introduce the car from front perspectives."
    prompts = f"""
    dreamlikeart, Brand: {prompt_marka} / 
    Series: {prompt_seri} / 
    Model: {prompt_model} / 
    Year: {prompt_yil} / 
    Car Type: {prompt_car} / 
    Show the car in a showroom (studio). Make a photo with front perspectives."""

    while queue.qsize() >= queue_threshold:
        time.sleep(2)
    queue.put(prompts)
    output1 = proc1(prompts)
    return output1
    
with gr.Blocks(css='style.css') as demo:

    with gr.Row(variant="compact"):
        prompt_marka = gr.Textbox(
            label="Enter your prompt",
            show_label=False,
            max_lines=2,
            placeholder="Markanızı Giriniz. (Örneğin, Renault, BMW, AUDI)",
        ).style(
            container=False,
        )

        prompt_seri = gr.Textbox(
            label="Enter your prompt",
            show_label=False,
            max_lines=2,
            placeholder="Serinizi Giriniz. (Örneğin, Clio, Symbol)",
        ).style(
            container=False,
        )

        prompt_model = gr.Textbox(
            label="Enter your prompt",
            show_label=False,
            max_lines=2,
            placeholder="Modelinizi Giriniz. (Örneğin, 1.5 dCi Authentique)",
        ).style(
            container=False,
        )

        prompt_yil = gr.Textbox(
            label="Enter your prompt",
            show_label=False,
            max_lines=2,
            placeholder="Aracınızın Yılını Giriniz. (Örneğin, 2012,2020)",
        ).style(
            container=False,
        )
        run = gr.Button("Oluştur").style(full_width=False)

        prompt_car = gr.Textbox(
            label="Enter your prompt",
            show_label=False,
            max_lines=2,
            placeholder="Aracınızın Tipini Giriniz. (Örneğin, 2012,2020)",
        ).style(
            container=False,
        )
        run = gr.Button("Oluştur").style(full_width=False)


    with gr.Row():
        with gr.Row():
            output1 = gr.Image(label="Dreamlike Diffusion 1.0", show_label=False)

    run.click(send_it1, inputs=[prompt_marka,prompt_seri,prompt_model,prompt_yil,prompt_car], outputs=[output1],api_name="car_image_draw")
    with gr.Row():
                gr.HTML(

)

demo.launch(enable_queue=True, inline=True,show_api=False)
block.queue(concurrency_count=100)