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import gradio as gr
import pandas as pd
import plotly.graph_objects as go
data = {
'years_after_diagnosis': [5, 8, 7, 7, 8, 7, 5, 6, 8, 5],
'age_at_diagnosis': [54, 41, 65, 85, 60, 66, 61, 55, 54, 48],
'stage level': [6, 6, 5, 5, 10, 8, 6, 3, 8, 6],
'status': [1, 1, 0, 1, 1, 1, 0, 0, 0, 0]
}
df = pd.DataFrame(data)
def plot_probability_chart(years_after_diagnosis, age_at_diagnosis, stage_level, chemotherapy, brachtherapy,
chemoradiation, radiotherapy, radiation, menopause, MENO_post, HISTOLOGY, CM_1, CM_2, CM_3):
match = df.loc[
(df['years_after_diagnosis'] == years_after_diagnosis) &
(df['age_at_diagnosis'] == age_at_diagnosis) &
(df['stage level'] == stage_level)
]
if len(match) == 0:
probability_alive = 0.5
probability_dead = 0.5
label = ["No matching record", "No matching record"]
else:
status = match.iloc[0]['status']
label = ["Alive", "Dead"]
if status == 0:
probability_alive = 0.2
probability_dead = 0.8
else:
probability_alive = 0.7
probability_dead = 0.3
fig = go.Figure(
go.Bar(
x=label,
y=[probability_alive, probability_dead]
)
)
fig.update_layout(
title="Survival Probability Chart",
xaxis_title="Status",
yaxis_title="Probability",
)
return f"Patient Status: {label[status]}, Probability Score: {probability_alive if status == 1 else probability_dead}", fig
inputs = [
gr.inputs.Slider(minimum=0, maximum=10, step=1, default=5, label='years_after_diagnosis'),
gr.inputs.Slider(minimum=0, maximum=100, step=1, default=54, label='age_at_diagnosis'),
gr.inputs.Slider(minimum=0, maximum=10, step=1, default=6, label='stage level'),
gr.inputs.Checkbox(label='chemotherapy'),
gr.inputs.Checkbox(label='brachtherapy'),
gr.inputs.Checkbox(label='chemoradiation'),
gr.inputs.Checkbox(label='radiotherapy'),
gr.inputs.Checkbox(label='radiation'),
gr.inputs.Slider(minimum=0, maximum=30, step=1, default=0, label='menopause'),
gr.inputs.Slider(minimum=0, maximum=30, step=1, default=0, label='MENO_post'),
gr.inputs.Slider(minimum=0, maximum=2, step=1, default=2, label='HISTOLOGY'),
gr.inputs.Checkbox(label='CM_1'),
gr.inputs.Checkbox(label='CM_2'),
gr.inputs.Checkbox(label='CM_3')
]
title = "Cervical Cancer Survival Predictor"
subtitle = "Ojie, Deborah Voke (PG/2021/274546)"
description = f"<small><center>{subtitle}</center></small>"
interface = gr.Interface(fn=plot_probability_chart, inputs=inputs, outputs=["markdown", "plot"],
title=title, description=description, examples=None)
interface.launch() |