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3c54378
1
Parent(s):
a28c22e
Update app.py to include initial values
Browse files
app.py
CHANGED
@@ -1,4 +1,5 @@
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import os
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import gradio as gr
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import numpy as np
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import matplotlib
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@@ -79,7 +80,7 @@ if __name__ == "__main__":
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# Inputs
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dropdown = gr.Dropdown(choices=countries, value="Germany",
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label="Select the Country")
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slider = gr.Slider(minimum=1, maximum=5, value=
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label="Select the Number of Breakpoints")
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n_iterations = gr.Number(value=10000, precision=0,
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label="Select the Number of iterations")
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@@ -88,9 +89,13 @@ if __name__ == "__main__":
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info="Such iterations will be discarded.")
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# Outputs
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p = gr.Text(label="Estimated Recovery Probability")
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interface = gr.Interface(sample,
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inputs=[dropdown, slider, n_iterations, burnin],
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import os
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import pickle
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import gradio as gr
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import numpy as np
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import matplotlib
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# Inputs
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dropdown = gr.Dropdown(choices=countries, value="Germany",
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label="Select the Country")
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slider = gr.Slider(minimum=1, maximum=5, value=4, step=1,
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label="Select the Number of Breakpoints")
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n_iterations = gr.Number(value=10000, precision=0,
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label="Select the Number of iterations")
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info="Such iterations will be discarded.")
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# Outputs
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initial_plot = pickle.load(open("data/germany_estimate.pkl", "rb"))
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plot = gr.Plot(value=initial_plot, label="Results")
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initial_lam = "Component 1: 0.3114\nComponent 2: 0.1499\nComponent 3: 0.0822\nComponent 4: 0.0419"
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lam = gr.Text(value=initial_lam, label="Estimated Lambda")
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initial_t = "Breakpoint 1: 19\nBreakpoint 2: 29\nBreakpoint3: 38"
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t = gr.Text(value=initial_t, label="Estimated Breakpoints")
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initial_p = "0.0653"
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p = gr.Text(label="Estimated Recovery Probability")
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interface = gr.Interface(sample,
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inputs=[dropdown, slider, n_iterations, burnin],
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