ccm commited on
Commit
d7616e0
1 Parent(s): f9661d8
Files changed (1) hide show
  1. app.py +5 -4
app.py CHANGED
@@ -2,6 +2,7 @@ import random
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  import gradio
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  import numpy
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  import tensorflow
 
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  import math
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  # from tensorflow.python.framework.ops import disable_eager_execution
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@@ -309,17 +310,17 @@ def generate_unit_cell(t, d, th):
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  with gradio.Blocks() as demo:
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  with gradio.Row():
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- with gradio.Column():
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  t1 = gradio.Dropdown(endpoint_options, label="Type 1", value=random.choice(endpoint_options))
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  d1 = gradio.Dropdown(density_options, label="Density 1", value=random.choice(density_options))
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  th1 = gradio.Dropdown(thickness_options, label="Thickness 1", value=random.choice(thickness_options))
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- with gradio.Column():
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  img1 = gradio.Image(label="Endpoint 1")
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- with gradio.Column():
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  t2 = gradio.Dropdown(endpoint_options, label="Type 2", value=random.choice(endpoint_options))
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  d2 = gradio.Dropdown(density_options, label="Density 2", value=random.choice(density_options))
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  th2 = gradio.Dropdown(thickness_options, label="Thickness 2", value=random.choice(thickness_options))
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- with gradio.Column():
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  img2 = gradio.Image(label="Endpoint 2")
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  lattice_inputs_1 = [t1, d1, th1]
 
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  import gradio
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  import numpy
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  import tensorflow
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+ import tensorflow.python.framework.ops
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  import math
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  # from tensorflow.python.framework.ops import disable_eager_execution
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  with gradio.Blocks() as demo:
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  with gradio.Row():
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+ with gradio.Column(min_width=250):
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  t1 = gradio.Dropdown(endpoint_options, label="Type 1", value=random.choice(endpoint_options))
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  d1 = gradio.Dropdown(density_options, label="Density 1", value=random.choice(density_options))
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  th1 = gradio.Dropdown(thickness_options, label="Thickness 1", value=random.choice(thickness_options))
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+ with gradio.Column(min_width=250):
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  img1 = gradio.Image(label="Endpoint 1")
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+ with gradio.Column(min_width=250):
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  t2 = gradio.Dropdown(endpoint_options, label="Type 2", value=random.choice(endpoint_options))
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  d2 = gradio.Dropdown(density_options, label="Density 2", value=random.choice(density_options))
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  th2 = gradio.Dropdown(thickness_options, label="Thickness 2", value=random.choice(thickness_options))
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+ with gradio.Column(min_width=250):
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  img2 = gradio.Image(label="Endpoint 2")
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  lattice_inputs_1 = [t1, d1, th1]