ccm commited on
Commit
80c3c5d
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1 Parent(s): ae9b2d5

Update app.py

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Files changed (1) hide show
  1. app.py +9 -14
app.py CHANGED
@@ -7,15 +7,6 @@ import numpy
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  from tensorflow.python.framework.ops import disable_eager_execution
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  disable_eager_execution()
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- # Start a session for checking calculations and stuff
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- # import tensorflow as tf
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- # sess = tf.compat.v1.Session()
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-
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- # from keras import backend as K
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- # K.set_session(sess)
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-
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- # Do you want it loud?
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- # VERBOSE = 1
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  # This function loads a fuckton of data
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  def load_data():
@@ -217,6 +208,8 @@ def change_textbox(choice):
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  return [gradio.Slider.update(visible=True), gradio.Slider.update(visible=False), gradio.Slider.update(visible=True), gradio.Slider.update(visible=False)]
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  with gradio.Blocks() as demo:
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  with gradio.Accordion("✨ Read about the ML model here! ✨", open=False):
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  with gradio.Row():
@@ -227,13 +220,15 @@ with gradio.Blocks() as demo:
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  with gradio.Column():
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  download = gradio.HTML("<a href=\"https://huggingface.co/spaces/cmudrc/wecnet/resolve/main/McComb2019_Chapter_TowardTheRapidDesignOfEngineer.pdf\" style=\"width: 60%; display: block; margin: auto;\"><img src=\"https://huggingface.co/spaces/cmudrc/wecnet/resolve/main/coverpage.png\"></a>")
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-
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-
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  with gradio.Tab("Analysis"):
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  with gradio.Row():
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- with gradio.Column():
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- with gradio.Accordion("Geometry from Parameters", open=True):
 
 
 
 
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  radio = gradio.Radio(
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  ["box", "cone", "cylinder", "sphere", "wedge"], label="What kind of shape would you like to generate?", value="box"
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  )
@@ -243,7 +238,7 @@ with gradio.Blocks() as demo:
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  length = gradio.Slider(label="Length", interactive=True, minimum=3.0, maximum=10.0, value=6.5)
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  radio.change(fn=change_textbox, inputs=radio, outputs=[height, width, diameter, length])
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- with gradio.Accordion("Geometry from Dataset", open=False):
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  num = gradio.Number(42, label="data index")
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  btn1 = gradio.Button("Select")
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  from tensorflow.python.framework.ops import disable_eager_execution
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  disable_eager_execution()
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  # This function loads a fuckton of data
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  def load_data():
 
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  return [gradio.Slider.update(visible=True), gradio.Slider.update(visible=False), gradio.Slider.update(visible=True), gradio.Slider.update(visible=False)]
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+
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+
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  with gradio.Blocks() as demo:
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  with gradio.Accordion("✨ Read about the ML model here! ✨", open=False):
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  with gradio.Row():
 
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  with gradio.Column():
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  download = gradio.HTML("<a href=\"https://huggingface.co/spaces/cmudrc/wecnet/resolve/main/McComb2019_Chapter_TowardTheRapidDesignOfEngineer.pdf\" style=\"width: 60%; display: block; margin: auto;\"><img src=\"https://huggingface.co/spaces/cmudrc/wecnet/resolve/main/coverpage.png\"></a>")
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  with gradio.Tab("Analysis"):
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  with gradio.Row():
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+ with gradio.Column():
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+ whence_commeth_geometry = gradio.Radio(
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+ ["Construct Shape from Parameters", "Pick Shape from Dataset"], label="How would you like to generate the shape of the offshore structure for analysis?", value="Construct Shape from Parameters"
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+ )
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+ # whence_commeth_geometry.change(fn=geometry_change, inputs=[whence_commeth_geometry], outputs=[asdfa, asdfb])
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+ with gradio.Accordion("Geometry from Parameters", open=True) as asdfa:
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  radio = gradio.Radio(
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  ["box", "cone", "cylinder", "sphere", "wedge"], label="What kind of shape would you like to generate?", value="box"
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  )
 
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  length = gradio.Slider(label="Length", interactive=True, minimum=3.0, maximum=10.0, value=6.5)
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  radio.change(fn=change_textbox, inputs=radio, outputs=[height, width, diameter, length])
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+ with gradio.Accordion("Geometry from Dataset", open=False) as asdfb:
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  num = gradio.Number(42, label="data index")
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  btn1 = gradio.Button("Select")
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