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Update app.py
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app.py
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import requests
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import bs4
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from bs4 import BeautifulSoup
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import requests
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import bs4
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import gradio as gr
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from bs4 import BeautifulSoup
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def run_lora(prompt):
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page = requests.get("https://www.google.dz/search?q="+prompt)
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soup = BeautifulSoup(page.content)
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import re
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links = soup.findAll("a")
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for link in soup.find_all("a",href=re.compile("(?<=/url\?q=)(htt.*://.*)")):
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print (re.split(":(?=http)",link["href"].replace("/url?q=","")))
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css = '''
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#gen_btn{height: 100%}
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#title{text-align: center}
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#title h1{font-size: 3em; display:inline-flex; align-items:center}
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#title img{width: 100px; margin-right: 0.5em}
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#gallery .grid-wrap{height: 10vh}
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'''
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with gr.Blocks(theme=gr.themes.Soft(), css=css) as app:
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title = gr.HTML(
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"""<h1><img src="https://huggingface.co/spaces/multimodalart/flux-lora-the-explorer/resolve/main/flux_lora.png" alt="LoRA"> FLUX LoRA the Explorer</h1>""",
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elem_id="title",
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)
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selected_index = gr.State(None)
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with gr.Row():
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with gr.Column(scale=3):
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prompt = gr.Textbox(label="Prompt", lines=1, placeholder="Type a prompt after selecting a LoRA")
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with gr.Column(scale=1, elem_id="gen_column"):
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generate_button = gr.Button("Generate", variant="primary", elem_id="gen_btn")
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with gr.Row():
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with gr.Column(scale=3):
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selected_info = gr.Markdown("")
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gallery = gr.Gallery(
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[(item["image"], item["title"]) for item in loras],
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label="LoRA Gallery",
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allow_preview=False,
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columns=3,
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elem_id="gallery"
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)
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with gr.Column(scale=4):
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result = gr.Image(label="Generated Image")
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with gr.Row():
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with gr.Accordion("Advanced Settings", open=False):
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with gr.Column():
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with gr.Row():
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cfg_scale = gr.Slider(label="CFG Scale", minimum=1, maximum=20, step=0.5, value=3.5)
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steps = gr.Slider(label="Steps", minimum=1, maximum=50, step=1, value=28)
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with gr.Row():
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width = gr.Slider(label="Width", minimum=256, maximum=1536, step=64, value=1024)
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height = gr.Slider(label="Height", minimum=256, maximum=1536, step=64, value=1024)
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with gr.Row():
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randomize_seed = gr.Checkbox(True, label="Randomize seed")
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seed = gr.Slider(label="Seed", minimum=0, maximum=MAX_SEED, step=1, value=0, randomize=True)
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lora_scale = gr.Slider(label="LoRA Scale", minimum=0, maximum=1, step=0.01, value=0.95)
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gallery.select(
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update_selection,
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inputs=[width, height],
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outputs=[prompt, selected_info, selected_index, width, height]
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)
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gr.on(
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triggers=[generate_button.click, prompt.submit],
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fn=run_lora,
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inputs=[prompt],
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outputs=[result, seed]
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)
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app.queue()
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app.launch()
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