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Lexica_prompt_search
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import requests
import shutil
from PIL import Image
from io import BytesIO
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import random
import gradio as gr
 
design='india'
def lexica(design,n):

  request=requests.get(f'https://lexica.art/api/v1/search?q={design}')
  request.json()
  data = request.json()
  data_items = list(data.items())

  random.shuffle(data_items)

  data = dict(data_items)

  image_urls = []
  image_prompts = []
  image_gallery=[]

  for key, value in data.items():
    for i in range(n):
      image_url = value[i]['src']
      if isinstance(image_url, list):
        image_url = image_url[0]
      image_urls.append(image_url)

 
      image_prompts.append(value[i]['prompt'])
      image_gallery.append(value[i]['gallery'])
 
  images = []

  # Loop through the image URLs
  for url in image_urls:
    # Download the image from the URL
    response = requests.get(url)

    # Load the image data into PIL format
    image = Image.open(BytesIO(response.content))

    # Add the image to the list
    images.append(image)

 
#  df = pd.DataFrame(image_prompts, columns=["Lexica Prompt"], index=range(1, len(image_prompts)+1))

 
#  df.index.name = "Sr. No."
  df = pd.DataFrame({ 'image_gallery': image_gallery,'image_prompts': image_prompts})
  def make_clickable(val):
    return '<a href="{}">{}</a>'.format(val, val)

  # df.style.format({'image_gallery': make_clickable})
  df.style.format({'image_prompts': make_clickable}).set_properties(subset=['image_prompts'], width=30)
 
  for image in images:
 
    array = np.array(image)

 
  return images , df
design='india'
# lexica(design)

inputs =[ gr.Textbox(label = 'Enter prompt to search Lexica.art'),
         gr.Slider(label='Number of images ', minimum = 4, maximum = 20, step = 1, value = 4)]
 
 
outputs=     [gr.Gallery(lable='Output gallery').style(grid=4,height=100,container=True),
              gr.Dataframe(label='links and prompts for corresponding images')]

# Create and launch the interface
interface = gr.Interface(lexica,
    inputs=inputs,
    outputs=outputs,
    examples =[ ['trending digital art', 5],
                  ['beautiful home', 5],
               ['interior design of living room', 5]]
                  ,
     title = "" +' 🔍 🖌️🎨 Lexica Art - A Search Engine for Generative Art Prompts and Works '+ "",
     description="🔍🖌️ 🎨 lexica huggingface space  , Find inspiration and discover new generative artworks with Lexica Art, a search engine built  by  by @[Sharif shameem](https://twitter.com/sharifshameem) . Explore a vast collection of prompts and corresponding artworks, and let your imagination take over as you create your own masterpieces. \n\n Visit @[baith_al_suroor](https://huggingface.co./spaces/Xhaheen/Baith-al-suroor) to redesign your home interiors for FREE  \n\n💡🖌️ spaces built with ❤️   @[Xhaheen](https://www.linkedin.com/in/sallu-mandya)")

interface.launch(debug=True)