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425853e f72dbc2 425853e 99e9aa5 836cbb0 99e9aa5 836cbb0 2c99c21 425853e c18befd 425853e c18befd 425853e c18befd 425853e c18befd 425853e c18befd 425853e efb2e16 425853e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 | import gradio as gr
import pickle
import pandas as pd
PARAMS_NAME = [
"Age",
"Class",
"Wifi",
"Booking",
"Seat",
"Checkin"
]
with open("model/rf.pkl", "rb") as f:
model = pickle.load(f)
COLUMNS_PATH = "model/categories_ohe.pickle"
with open(COLUMNS_PATH, 'rb') as handle:
ohe_tr = pickle.load(handle)
def predict(*args):
answer_dict = {}
for i in range(len(PARAMS_NAME)):
answer_dict[PARAMS_NAME[i]] = [args[i]]
single_instance = pd.DataFrame.from_dict(answer_dict)
# Reformat columns
single_instance_ohe = pd.get_dummies(single_instance).reindex(columns = ohe_tr).fillna(0)
prediction = model.predict(single_instance_ohe)
response = int(prediction[0])
if response == 0:
response = "This flight was a really hell!!"
if response == 1:
response = "I have touch the sky with my hand, what a lovely flight!"
return response
with gr.Blocks() as demo:
gr.Markdown(
'''
# Flight satisfaction 🛩
'''
)
with gr.Row():
with gr.Column():
gr.Markdown(
'''
## Input 🛫
'''
)
Age = gr.Slider(label="Age", minimum=6, maximum=120, step=1, randomize=True)
Class = gr.Radio(
label="Class",
choices=["Business", "Eco", "Eco Plus"],
value="Eco Plus"
)
Wifi = gr.Slider(label="Wifi", minimum=1, maximum=5, step=1, randomize=True)
Booking = gr.Slider(label="Booking", minimum=1, maximum=5, step=1, randomize=True)
Seat = gr.Slider(label="Seat", minimum=1, maximum=5, step=1, randomize=True)
Checkin = gr.Slider(label="Checkin", minimum=1, maximum=5, step=1, randomize=True)
with gr.Column():
gr.Markdown(
'''
## Prediction 🛬
'''
)
label = gr.Label(label="Satisfaction")
predict_btn = gr.Button(value="Shoot")
predict_btn.click(
predict,
inputs=[
Age,
Class,
Wifi,
Booking,
Seat,
Checkin,
],
outputs=[label],
api_name="Flight satisfaction"
)
gr.Markdown(
'''
<p style='text-align:center'>
<a href='https://www.escueladedatosvivos.ai/cursos/bootcamp-de-data-science'
target='_blank'>Estudia con Carlos Bustillo en Escuela de Datos Vivos haciendo click aqui y hace muchas de estas APIS 😎 !
</a>
</p>
'''
)
demo.launch()
|