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Update app.py
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app.py
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import os
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import requests
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import random
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import time
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name2 = "stablediffusionapi/opendalle"
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gr.Interface.load(f"models/{name2}"),
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gr.Interface.load(f"models/{name2}"),
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gr.Interface.load(f"models/{name2}"),
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gr.Interface.load(f"models/{name2}"),
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gr.Interface.load(f"models/{name2}"),
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gr.Interface.load(f"models/{name2}"),
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gr.Interface.load(f"models/{name2}"),
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gr.Interface.load(f"models/{name2}"),
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gr.Interface.load(f"models/{name2}"),
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gr.Interface.load(f"models/{name2}"),
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]
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#o = os.getenv("P")
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o = "V"
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<
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fac = f"{fac} "
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rn = random.randint(0, 19)
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model=models[rn]
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return model(put),fac
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elif h != o:
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return(None,None)
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except Exception:
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return None, None
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def cl_fac():
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return "",gr.HTML.update(f"{loading}")
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with gr.Blocks() as b:
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with gr.Row():
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with gr.Column():
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put = gr.Textbox()
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with gr.Column():
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with gr.Row():
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btn1 = gr.Button("Run")
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btn2 = gr.Button("Clear")
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message=gr.HTML("<div></div>")
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message2=gr.HTML("",visible=False)
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with gr.Row(visible=False):
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h=gr.Textbox(value="V")
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t_state=gr.Number()
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t_switch=gr.Textbox(value=0)
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def clear_all():
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return "",None,None,None,None,None,None,1,gr.HTML.update("<div></div>")
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fac_b = gr.Textbox(value="", visible=False)
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return gr.HTML.update("<div></div>")
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#a1=btn1.click(noth,None,btn1,every=1)
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btn1.click(cl_fac,None,[fac_b,message],show_progress=False)
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b1=btn1.click(start,None,[t_state,t_switch],show_progress=True)
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sta = t_state.change(end,t_state,[t_switch,message2],every=1,show_progress=True)
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b2=btn1.click(im_fn,[put,fac_b,h],[out1,fac_b], show_progress=True)
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b3=out1.change(im_fn,[put,fac_b,h],[out2,fac_b], show_progress=True)
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b4=out2.change(im_fn,[put,fac_b,h],[out3,fac_b], show_progress=True)
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b5=out3.change(im_fn,[put,fac_b,h],[out4,fac_b], show_progress=True)
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b6=out4.change(noth,None,message, show_progress=False)
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swi=t_switch.change(clear,None,[t_switch,fac_b], cancels=[sta,b2,b3,b4,b5],show_progress=False)
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#btn2.click(noth,None,message,cancels=[b1,sta,b2,b3,b4,b5,swi],show_progress=False)
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btn2.click(clear_all, None,[fac_b,put,out1,out2,out3,out4,t_state,t_switch,message],cancels=[b1,sta,b2,b3,b4,b5,swi],show_progress=False)
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b.queue(concurrency_count=100).launch(show_api=False)
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ac()
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#!/usr/bin/env python
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# coding: utf-8
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import os
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import gradio as gr
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from backend import get_images_from_backend
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block = gr.Blocks(css=".container { max-width: 800px; margin: auto; }")
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backend_url = os.environ["BACKEND_SERVER"] + "/generate"
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def infer(prompt):
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response = get_images_from_backend(prompt, backend_url)
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return response["images"]
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with block:
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gr.Markdown("<h1><center>DALL路E mini</center></h1>")
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gr.Markdown(
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"DALL路E mini is an AI model that generates images from any prompt you give!"
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)
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with gr.Group():
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with gr.Box():
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with gr.Row().style(mobile_collapse=False, equal_height=True):
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text = gr.Textbox(
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label="Enter your prompt", show_label=False, max_lines=1
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).style(
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border=(True, False, True, True),
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margin=False,
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rounded=(True, False, False, True),
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container=False,
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)
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btn = gr.Button("Run").style(
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margin=False,
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rounded=(False, True, True, False),
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)
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gallery = gr.Gallery(label="Generated images", show_label=False).style(
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grid=[3], height="auto"
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)
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text.submit(infer, inputs=text, outputs=gallery)
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btn.click(infer, inputs=text, outputs=gallery)
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gr.Markdown(
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"""___
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<p style='text-align: center'>
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Created by <a href="https://twitter.com/borisdayma" target="_blank">Boris Dayma</a> et al. 2021-2022
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<br/>
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<a href="https://github.com/borisdayma/dalle-mini" target="_blank">GitHub</a> | <a href="https://wandb.ai/dalle-mini/dalle-mini/reports/DALL-E-mini-Generate-images-from-any-text-prompt--VmlldzoyMDE4NDAy" target="_blank">Project Report</a>
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</p>"""
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)
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block.launch(enable_queue=False)
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