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import altair as alt
import gradio as gr
import pandas as pd
import numpy as np
def plot_usage_volume(system1, users1, timeline1, system2, users2, timeline2, system3, users3, timeline3):
# Create empty dataframe to hold usage data
data = pd.DataFrame(columns=["System", "Month", "Usage"])
# Generate usage data for each system based on typical rollout behaviors
for i, system in enumerate([system1, system2, system3]):
# Calculate the monthly usage volume based on the estimated number of users and timeline
usage = np.concatenate([
np.linspace(0, [users1, users2, users3][i], int([timeline1, timeline2, timeline3][i] * 0.25)),
np.linspace([users1, users2, users3][i] * 0.5, [users1, users2, users3][i], int([timeline1, timeline2, timeline3][i] * 0.5)),
np.linspace([users1, users2, users3][i], [users1, users2, users3][i] * 0.75, int([timeline1, timeline2, timeline3][i] * 0.25))
])
# Add the usage data to the dataframe
months = ["Month {}".format(j) for j in range(1, len(usage) + 1)]
system_data = pd.DataFrame({"System": [system] * len(usage), "Month": months, "Usage": usage})
data = pd.concat([data, system_data], axis=0)
# Create a multiline plot of the usage volume for each system
line = alt.Chart(data).mark_line().encode(
x='Month:N',
y='Usage:Q',
color='System:N'
).properties(title="System Rollout Usage Volume Plot")
# Return the plot as a Gradio output
return line
# Define the input components
inputs = [
gr.inputs.Textbox(label="System 1 Name", default="System1"),
gr.inputs.Number(label="System 1 Users", default=1000),
gr.inputs.Number(label="System 1 Timeline (months)", default=12),
gr.inputs.Textbox(label="System 2 Name", default="System2"),
gr.inputs.Number(label="System 2 Users", default=500),
gr.inputs.Number(label="System 2 Timeline (months)", default=18),
gr.inputs.Textbox(label="System 3 Name", default="System3"),
gr.inputs.Number(label="System 3 Users", default=2000),
gr.inputs.Number(label="System 3 Timeline (months)", default=24)
]
# Define the output component
output = gr.Plot(label="Usage Volume Plot")
# Create the interface
iface = gr.Interface(fn=plot_usage_volume, inputs=inputs, outputs=output, title="System Rollout Usage Volume Plot")
# Launch the interface
iface.launch()
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