eogreen commited on
Commit
2c5ebf8
1 Parent(s): 9aefa6d

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +7 -7
app.py CHANGED
@@ -62,7 +62,7 @@ with gr.Blocks(theme=gr.themes.Soft()) as operand:
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  textbox_a = gr.Textbox(label='Command')
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  output_a = gr.Textbox(label='Output')
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  button_a = gr.Button("Submit")
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- button_a.click(dprocess, inputs=[textbox_a], outputs=output_a)
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  with gr.Tab("Set"):
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  gr.Markdown("## Data Set")
@@ -70,7 +70,7 @@ with gr.Blocks(theme=gr.themes.Soft()) as operand:
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  textbox_b = gr.Textbox(label='Command')
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  output_b = gr.Textbox(label='Output')
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  button_b = gr.Button("Submit")
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- button_b.click(dprocess, inputs=[textbox_b], outputs=output_b)
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  with gr.Tab("Transform"):
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  gr.Markdown("## Data Transform")
@@ -78,7 +78,7 @@ with gr.Blocks(theme=gr.themes.Soft()) as operand:
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  textbox_c = gr.Textbox(label='Command')
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  output_c = gr.Textbox(label='Output')
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  button_c = gr.Button("Submit")
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- button_c.click(dprocess, inputs=[textbox_c], outputs=output_c)
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  with gr.Tab("Analysis"):
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  gr.Markdown("## Data Analysis")
@@ -86,7 +86,7 @@ with gr.Blocks(theme=gr.themes.Soft()) as operand:
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  textbox_d = gr.Textbox(label='Command')
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  output_d = gr.Textbox(label='Output')
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  button_d = gr.Button("Submit")
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- button_d.click(dprocess, inputs=[textbox_d], outputs=output_d)
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  with gr.Tab("Visualization"):
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  gr.Markdown("## Data Visualization")
@@ -94,7 +94,7 @@ with gr.Blocks(theme=gr.themes.Soft()) as operand:
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  textbox_e = gr.Textbox(label='Command')
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  output_e = gr.Textbox(label='Output')
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  button_e = gr.Button("Submit")
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- button_e.click(dprocess, inputs=[textbox_e], outputs=output_e)
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  with gr.Tab("Notification"):
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  gr.Markdown("## Notifications")
@@ -102,7 +102,7 @@ with gr.Blocks(theme=gr.themes.Soft()) as operand:
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  textbox_f = gr.Textbox(label='Command')
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  output_f = gr.Textbox(label='Output')
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  button_f = gr.Button("Submit")
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- button_f.click(dprocess, inputs=[textbox_f], outputs=output_f)
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  with gr.Tab("Automation"):
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  gr.Markdown("## Automation")
@@ -110,7 +110,7 @@ with gr.Blocks(theme=gr.themes.Soft()) as operand:
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  textbox_g = gr.Textbox(label='Command')
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  output_g = gr.Textbox(label='Output')
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  button_g = gr.Button("Submit")
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- button_g.click(dprocess, inputs=[textbox_g], outputs=output_g)
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  # For the inputs parameter of Interface provide [textbox,company] with outputs parameter of Interface provide prediction
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  # demo = gr.Interface(fn=dprocess,
 
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  textbox_a = gr.Textbox(label='Command')
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  output_a = gr.Textbox(label='Output')
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  button_a = gr.Button("Submit")
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+ button_a.click(process_command, inputs=[textbox_a], outputs=output_a)
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  with gr.Tab("Set"):
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  gr.Markdown("## Data Set")
 
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  textbox_b = gr.Textbox(label='Command')
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  output_b = gr.Textbox(label='Output')
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  button_b = gr.Button("Submit")
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+ button_b.click(process_command, inputs=[textbox_b], outputs=output_b)
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  with gr.Tab("Transform"):
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  gr.Markdown("## Data Transform")
 
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  textbox_c = gr.Textbox(label='Command')
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  output_c = gr.Textbox(label='Output')
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  button_c = gr.Button("Submit")
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+ button_c.click(process_command, inputs=[textbox_c], outputs=output_c)
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  with gr.Tab("Analysis"):
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  gr.Markdown("## Data Analysis")
 
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  textbox_d = gr.Textbox(label='Command')
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  output_d = gr.Textbox(label='Output')
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  button_d = gr.Button("Submit")
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+ button_d.click(process_command, inputs=[textbox_d], outputs=output_d)
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  with gr.Tab("Visualization"):
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  gr.Markdown("## Data Visualization")
 
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  textbox_e = gr.Textbox(label='Command')
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  output_e = gr.Textbox(label='Output')
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  button_e = gr.Button("Submit")
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+ button_e.click(process_command, inputs=[textbox_e], outputs=output_e)
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  with gr.Tab("Notification"):
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  gr.Markdown("## Notifications")
 
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  textbox_f = gr.Textbox(label='Command')
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  output_f = gr.Textbox(label='Output')
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  button_f = gr.Button("Submit")
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+ button_f.click(process_command, inputs=[textbox_f], outputs=output_f)
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  with gr.Tab("Automation"):
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  gr.Markdown("## Automation")
 
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  textbox_g = gr.Textbox(label='Command')
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  output_g = gr.Textbox(label='Output')
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  button_g = gr.Button("Submit")
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+ button_g.click(process_command, inputs=[textbox_g], outputs=output_g)
114
 
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  # For the inputs parameter of Interface provide [textbox,company] with outputs parameter of Interface provide prediction
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  # demo = gr.Interface(fn=dprocess,