Spaces:
Running
on
Zero
Running
on
Zero
root
commited on
Commit
•
a893db0
1
Parent(s):
5569753
textbox 2 text
Browse files
app.py
CHANGED
@@ -1,6 +1,6 @@
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import os
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os.system("pip uninstall -y gradio")
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os.system("pip install gradio==3.41.0")
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import os
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import copy
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@@ -319,8 +319,7 @@ with gr.Blocks() as demo:
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with gr.Tab(label="2 Optimization"):
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with gr.Row():
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with gr.Column():
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#txt_box = gr.Textbox("Click the button to start optimization...", interactive = False)
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opt_flag = gr.State(0)
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gr.Markdown("""<p style="text-align: center; font-size: 20px">Optimization settings (SD)</p>""")
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@@ -358,7 +357,7 @@ with gr.Blocks() as demo:
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)
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run_optimization()
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print('finish')
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-
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def immediate_update():
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return gr.Button.update("Processing...", interactive=False)
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@@ -378,14 +377,13 @@ with gr.Blocks() as demo:
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train_batch_size,
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gradient_accumulation_steps
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],
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outputs = [])
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add_button.click(fn=immediate_update2, inputs=[], outputs=[add_button])
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add_button.update()
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'''txt_box.change(fn=lambda x: gr.Button.update(value="Optimization Finished!", interactive=True),
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inputs=[txt_box], outputs=[add_button])
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def change_text(txt_box):
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return gr.Textbox("Optimization Finished!", interactive = False)
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def change_text2():
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return gr.Textbox("Start optimization, check logs for progress...", interactive = False)
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add_button.click(change_text2, [], txt_box)'''
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@@ -448,7 +446,6 @@ with gr.Blocks() as demo:
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outputs = [],queue=True,
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)
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load_button = gr.Button("Load results")
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load_button.click(load_pil_img,
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inputs = [],
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# import os
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# os.system("pip uninstall -y gradio")
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# os.system("pip install gradio==3.41.0")
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import os
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import copy
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with gr.Tab(label="2 Optimization"):
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with gr.Row():
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with gr.Column():
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result_info = gr.Text(label="Response")
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opt_flag = gr.State(0)
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gr.Markdown("""<p style="text-align: center; font-size: 20px">Optimization settings (SD)</p>""")
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)
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run_optimization()
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print('finish')
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return "Optimization finished!"
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def immediate_update():
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return gr.Button.update("Processing...", interactive=False)
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train_batch_size,
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gradient_accumulation_steps
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],
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outputs = [result_info], api_name=False, concurrency_limit=45)
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add_button.click(fn=immediate_update2, inputs=[], outputs=[add_button])
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#add_button.update()
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def change_text():
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return gr.Textbox.update("Optimization Finished!", interactive = False)
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'''txt_box.change(fn=lambda x: gr.Button.update(value="Optimization Finished!", interactive=True),
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inputs=[txt_box], outputs=[add_button])
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def change_text2():
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return gr.Textbox("Start optimization, check logs for progress...", interactive = False)
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add_button.click(change_text2, [], txt_box)'''
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outputs = [],queue=True,
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)
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load_button = gr.Button("Load results")
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load_button.click(load_pil_img,
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inputs = [],
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