Upload app.py
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app.py
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import requests
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import shutil
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from PIL import Image
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from io import BytesIO
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import numpy as np
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import matplotlib.pyplot as plt
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import pandas as pd
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import random
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import gradio as gr
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design='india'
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def lexica(design,n):
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request=requests.get(f'https://lexica.art/api/v1/search?q={design}')
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request.json()
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data = request.json()
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data_items = list(data.items())
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random.shuffle(data_items)
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data = dict(data_items)
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image_urls = []
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image_prompts = []
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for key, value in data.items():
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for i in range(n):
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image_url = value[i]['src']
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if isinstance(image_url, list):
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image_url = image_url[0]
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image_urls.append(image_url)
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image_prompts.append(value[i]['prompt'])
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images = []
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# Loop through the image URLs
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for url in image_urls:
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# Download the image from the URL
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response = requests.get(url)
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# Load the image data into PIL format
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image = Image.open(BytesIO(response.content))
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# Add the image to the list
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images.append(image)
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df = pd.DataFrame(image_prompts, columns=["Lexica Prompt"], index=range(1, len(image_prompts)+1))
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df.index.name = "Sr. No."
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for image in images:
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array = np.array(image)
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return images , df
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design='india'
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# lexica(design)
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inputs =[ gr.Textbox(label = 'Enter prompt to search'),
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gr.Slider(label='Number of images ', minimum = 4, maximum = 20, step = 1, value = 4)]
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outputs= [gr.Gallery(lable='Output gallery').style(grid=1),
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gr.Dataframe(label='prompts for corresponding images')]
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# Create and launch the interface
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interface = gr.Interface(lexica,
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inputs=inputs,
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outputs=outputs,
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examples =[ ['trending digital art', 5],
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['beautiful home', 5],
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['interior design of living room', 5]]
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,
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title = "" +' A Search Engine for Generative Art Prompts and Works '+ "",
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description=" Find more powerful tools at [AI Beast](https://aibeast.net) and follow for updates . [Follow](https://www.facebook.com/abbas143office) ❤️")
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interface.launch(debug=True)
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