Upload app.py
Browse files
app.py
ADDED
@@ -0,0 +1,82 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import requests
|
2 |
+
import shutil
|
3 |
+
from PIL import Image
|
4 |
+
from io import BytesIO
|
5 |
+
import numpy as np
|
6 |
+
import matplotlib.pyplot as plt
|
7 |
+
import pandas as pd
|
8 |
+
import random
|
9 |
+
import gradio as gr
|
10 |
+
|
11 |
+
design='india'
|
12 |
+
def lexica(design,n):
|
13 |
+
|
14 |
+
request=requests.get(f'https://lexica.art/api/v1/search?q={design}')
|
15 |
+
request.json()
|
16 |
+
data = request.json()
|
17 |
+
data_items = list(data.items())
|
18 |
+
|
19 |
+
random.shuffle(data_items)
|
20 |
+
|
21 |
+
data = dict(data_items)
|
22 |
+
|
23 |
+
image_urls = []
|
24 |
+
image_prompts = []
|
25 |
+
|
26 |
+
for key, value in data.items():
|
27 |
+
for i in range(n):
|
28 |
+
image_url = value[i]['src']
|
29 |
+
if isinstance(image_url, list):
|
30 |
+
image_url = image_url[0]
|
31 |
+
image_urls.append(image_url)
|
32 |
+
|
33 |
+
|
34 |
+
image_prompts.append(value[i]['prompt'])
|
35 |
+
|
36 |
+
images = []
|
37 |
+
|
38 |
+
# Loop through the image URLs
|
39 |
+
for url in image_urls:
|
40 |
+
# Download the image from the URL
|
41 |
+
response = requests.get(url)
|
42 |
+
|
43 |
+
# Load the image data into PIL format
|
44 |
+
image = Image.open(BytesIO(response.content))
|
45 |
+
|
46 |
+
# Add the image to the list
|
47 |
+
images.append(image)
|
48 |
+
|
49 |
+
|
50 |
+
df = pd.DataFrame(image_prompts, columns=["Lexica Prompt"], index=range(1, len(image_prompts)+1))
|
51 |
+
|
52 |
+
|
53 |
+
df.index.name = "Sr. No."
|
54 |
+
|
55 |
+
|
56 |
+
for image in images:
|
57 |
+
|
58 |
+
array = np.array(image)
|
59 |
+
|
60 |
+
|
61 |
+
return images , df
|
62 |
+
design='india'
|
63 |
+
# lexica(design)
|
64 |
+
|
65 |
+
inputs =[ gr.Textbox(label = 'Enter prompt to search'),
|
66 |
+
gr.Slider(label='Number of images ', minimum = 4, maximum = 20, step = 1, value = 4)]
|
67 |
+
|
68 |
+
outputs= [gr.Gallery(lable='Output gallery').style(grid=1),
|
69 |
+
gr.Dataframe(label='prompts for corresponding images')]
|
70 |
+
|
71 |
+
# Create and launch the interface
|
72 |
+
interface = gr.Interface(lexica,
|
73 |
+
inputs=inputs,
|
74 |
+
outputs=outputs,
|
75 |
+
examples =[ ['trending digital art', 5],
|
76 |
+
['beautiful home', 5],
|
77 |
+
['interior design of living room', 5]]
|
78 |
+
,
|
79 |
+
title = "" +' A Search Engine for Generative Art Prompts and Works '+ "",
|
80 |
+
description=" Find more powerful tools at [AI Beast](https://aibeast.net) and follow for updates . [Follow](https://www.facebook.com/abbas143office) ❤️")
|
81 |
+
|
82 |
+
interface.launch(debug=True)
|