ccm commited on
Commit
4435ed9
1 Parent(s): c2a5995

import reorg

Browse files
Files changed (1) hide show
  1. app.py +3 -22
app.py CHANGED
@@ -1,13 +1,7 @@
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- # For neural networks
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  import keras
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- # For random calculations
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  import numpy
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-
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  import gradio
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  import pandas
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-
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-
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- # New for geometry creation
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  import glob
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  import os
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  import shutil
@@ -15,21 +9,13 @@ import stat
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  import math
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  import platform
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  import scipy.spatial
 
 
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  # Disable eager execution because its bad
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  from tensorflow.python.framework.ops import disable_eager_execution
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  disable_eager_execution()
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-
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- # Big bunch of geometry stuff
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- import glob
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- import os
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- import shutil
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- import stat
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- import math
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- import platform
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- import scipy.spatial
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-
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  class Mesh:
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  def __init__(self):
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  # Define blank values
@@ -1240,10 +1226,6 @@ class Network(object):
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  return table
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-
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- import plotly.graph_objects as go
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-
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-
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  def plotly_fig(values):
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  X, Y, Z = numpy.mgrid[0:1:32j, 0:1:32j, 0:1:32j]
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  fig = go.Figure(data=go.Volume(
@@ -1302,8 +1284,7 @@ def change_textbox(choice, length, height, width, diameter):
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  elif choice == "cone":
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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), gradio.Plot.update(fig)]
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-
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- import random
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  def randomize_analysis(choice):
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  if choice == "Construct Shape from Parameters":
 
 
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  import keras
 
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  import numpy
 
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  import gradio
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  import pandas
 
 
 
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  import glob
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  import os
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  import shutil
 
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  import math
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  import platform
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  import scipy.spatial
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+ import plotly.graph_objects as go
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+ import random
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  # Disable eager execution because its bad
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  from tensorflow.python.framework.ops import disable_eager_execution
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  disable_eager_execution()
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  class Mesh:
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  def __init__(self):
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  # Define blank values
 
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  return table
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  def plotly_fig(values):
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  X, Y, Z = numpy.mgrid[0:1:32j, 0:1:32j, 0:1:32j]
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  fig = go.Figure(data=go.Volume(
 
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  elif choice == "cone":
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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), gradio.Plot.update(fig)]
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+
 
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  def randomize_analysis(choice):
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  if choice == "Construct Shape from Parameters":