Spaces:
Runtime error
Runtime error
oort77
commited on
Commit
•
3ccb038
1
Parent(s):
10781d4
initial commit
Browse files- app.py +238 -0
- car_at_night.ico +0 -0
- requirements.txt +0 -0
- sky.png +0 -0
app.py
ADDED
@@ -0,0 +1,238 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
# -*- coding: utf-8 -*-
|
2 |
+
# File: app.py
|
3 |
+
# Project: 'Homework #2 OTUS.ML.Advanced'
|
4 |
+
# Created by Gennady Matveev (gm@og.ly) on 02-01-2022.
|
5 |
+
|
6 |
+
# Import libraries
|
7 |
+
import os
|
8 |
+
import pandas as pd
|
9 |
+
import streamlit as st
|
10 |
+
import requests
|
11 |
+
|
12 |
+
st.set_page_config(page_title='OTUS.ML.ADV_HW2', page_icon='./sky.ico', layout='centered', initial_sidebar_state='expanded')
|
13 |
+
|
14 |
+
padding = 0
|
15 |
+
st.markdown(f""" <style>
|
16 |
+
.reportview-container .main .block-container{{
|
17 |
+
padding-top: {padding}rem;
|
18 |
+
padding-right: {padding}rem;
|
19 |
+
padding-left: {padding}rem;
|
20 |
+
padding-bottom: {padding}rem;
|
21 |
+
}} </style> """, unsafe_allow_html=True)
|
22 |
+
|
23 |
+
st.image('./sky.png')
|
24 |
+
st.subheader('Homework #2 OTUS.ML.Advanced')
|
25 |
+
st.write('Classification model for Heart Disease UCI: https://www.kaggle.com/ronitf/heart-disease-uci')
|
26 |
+
st.markdown("""---""")
|
27 |
+
|
28 |
+
# Import data, will need it for get requests
|
29 |
+
@st.cache(ttl=600)
|
30 |
+
def get_data():
|
31 |
+
url = 'https://drive.google.com/uc?export=download&id=1wY3r2MwQoa-jiyzRoEM_eF_EU11vrCs0'
|
32 |
+
return pd.read_csv(url, compression='zip')
|
33 |
+
|
34 |
+
df = get_data()
|
35 |
+
|
36 |
+
# Main interface
|
37 |
+
row_num = st.number_input('Please choose features vector 0-302 or set values in the left sidebar',
|
38 |
+
min_value=0, max_value=302, value=42)
|
39 |
+
x17 =df.iloc[row_num,:-1].to_frame().T
|
40 |
+
st.write('Features, X')
|
41 |
+
st.write(x17)
|
42 |
+
|
43 |
+
# START Sidebar ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
|
44 |
+
|
45 |
+
with st.sidebar.expander("I want to choose my values", expanded=False):
|
46 |
+
age = st.number_input('Age', min_value=25, max_value=80, value=57)
|
47 |
+
sex = st.number_input('Sex', min_value=0, max_value=1, value=1)
|
48 |
+
cp = st.number_input('cp', min_value=0, max_value=4, value=0)
|
49 |
+
trestbps = st.number_input('trestbps', min_value=90, max_value=200, value=125)
|
50 |
+
chol = st.number_input('chol', min_value=125, max_value=550, value=240)
|
51 |
+
fbs = st.number_input('fbs', min_value=0, max_value=1, value=0)
|
52 |
+
restecg = st.number_input('restecg', min_value=0, max_value=2, value=1)
|
53 |
+
thalach = st.number_input('thalach', min_value=70, max_value=200, value=160)
|
54 |
+
exang = st.number_input('exang', min_value=0, max_value=1, value=0)
|
55 |
+
oldpeak = st.number_input('oldpeak', min_value=0, max_value=6, value=2)
|
56 |
+
slope = st.number_input('slope', min_value=0, max_value=2, value=2)
|
57 |
+
ca = st.number_input('ca', min_value=0, max_value=4, value=0)
|
58 |
+
thal = st.number_input('thal', min_value=0, max_value=3, value=2)
|
59 |
+
|
60 |
+
features = age,sex,cp,trestbps,chol,fbs,restecg,thalach,exang,oldpeak,slope,ca,thal
|
61 |
+
send_req_sidebar = st.button('Get prediction')
|
62 |
+
|
63 |
+
# END Sidebar ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
|
64 |
+
|
65 |
+
send_req = st.button('Send get request')
|
66 |
+
|
67 |
+
backend_address = "https://hw2backend.herokuapp.com/predict/"
|
68 |
+
|
69 |
+
# Main page button
|
70 |
+
if send_req:
|
71 |
+
prediction = requests.get(backend_address,
|
72 |
+
params={"q": tuple(x17.values)})
|
73 |
+
st.code(f'Parameters sent: {x17.values}')
|
74 |
+
col1, col2 = st.columns(2)
|
75 |
+
with col1:
|
76 |
+
st.write('Model predicts')
|
77 |
+
st.success(f'y = {prediction.text}')
|
78 |
+
with col2:
|
79 |
+
st.write('Ground truth')
|
80 |
+
if int(prediction.text) == int(df.iloc[row_num]["target"]):
|
81 |
+
st.success(f'y = {int(df.iloc[row_num]["target"])}')
|
82 |
+
else:
|
83 |
+
st.warning(f'y = {int(df.iloc[row_num]["target"])}')
|
84 |
+
|
85 |
+
# Sidebar button
|
86 |
+
|
87 |
+
if send_req_sidebar:
|
88 |
+
prediction = requests.get(backend_address,
|
89 |
+
params={"q": features})
|
90 |
+
st.code(f'Parameters sent: {features}')
|
91 |
+
st.write('Model predicts')
|
92 |
+
st.info(f'y = {prediction.text}')
|
93 |
+
|
94 |
+
# Show this code
|
95 |
+
with st.expander("Show code", expanded=False):
|
96 |
+
show_me = st.checkbox('Show code of this program')
|
97 |
+
if show_me:
|
98 |
+
st.code("""
|
99 |
+
# -*- coding: utf-8 -*-
|
100 |
+
# File: app.py
|
101 |
+
# Project: 'Homework #2 OTUS.ML.Advanced'
|
102 |
+
# Created by Gennady Matveev (gm@og.ly) on 02-01-2022.
|
103 |
+
|
104 |
+
# Import libraries
|
105 |
+
import pandas as pd
|
106 |
+
import streamlit as st
|
107 |
+
import requests
|
108 |
+
|
109 |
+
st.set_page_config(page_title='OTUS.ML.ADV_HW2', page_icon='./car_at_night.ico',
|
110 |
+
layout='centered', initial_sidebar_state='expanded')
|
111 |
+
|
112 |
+
padding = 0
|
113 |
+
st.markdown(f''' <style>
|
114 |
+
.reportview-container .main .block-container{{
|
115 |
+
padding-top: {padding}rem;
|
116 |
+
padding-right: {padding}rem;
|
117 |
+
padding-left: {padding}rem;
|
118 |
+
padding-bottom: {padding}rem;
|
119 |
+
}} </style> ''', unsafe_allow_html=True)
|
120 |
+
|
121 |
+
st.image('./sky.png')
|
122 |
+
st.subheader('Homework #2 OTUS.ML.Advanced')
|
123 |
+
st.write('Classification model for Heart Disease UCI: https://www.kaggle.com/ronitf/heart-disease-uci')
|
124 |
+
st.markdown('''---''')
|
125 |
+
|
126 |
+
# Import data, will need it for get requests
|
127 |
+
@st.cache(ttl=600)
|
128 |
+
def get_data():
|
129 |
+
url = 'https://drive.google.com/uc?export=download&id=1wY3r2MwQoa-jiyzRoEM_eF_EU11vrCs0'
|
130 |
+
return pd.read_csv(url, compression='zip')
|
131 |
+
|
132 |
+
df = get_data()
|
133 |
+
|
134 |
+
# Main interface
|
135 |
+
row_num = st.number_input('Please choose features vector 0-302 or set values in the left sidebar',
|
136 |
+
min_value=0, max_value=302, value=42)
|
137 |
+
x17 =df.iloc[row_num,:-1].to_frame().T
|
138 |
+
st.write('Features, X')
|
139 |
+
st.write(x17)
|
140 |
+
|
141 |
+
# START Sidebar ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
|
142 |
+
|
143 |
+
with st.sidebar.expander("I want to choose my values", expanded=False):
|
144 |
+
age = st.number_input('Age', min_value=25, max_value=80, value=57)
|
145 |
+
sex = st.number_input('Sex', min_value=0, max_value=1, value=1)
|
146 |
+
cp = st.number_input('cp', min_value=0, max_value=4, value=0)
|
147 |
+
trestbps = st.number_input('trestbps', min_value=90, max_value=200, value=125)
|
148 |
+
chol = st.number_input('chol', min_value=125, max_value=550, value=240)
|
149 |
+
fbs = st.number_input('fbs', min_value=0, max_value=1, value=0)
|
150 |
+
restecg = st.number_input('restecg', min_value=0, max_value=2, value=1)
|
151 |
+
thalach = st.number_input('thalach', min_value=70, max_value=200, value=160)
|
152 |
+
exang = st.number_input('exang', min_value=0, max_value=1, value=0)
|
153 |
+
oldpeak = st.number_input('oldpeak', min_value=0, max_value=6, value=2)
|
154 |
+
slope = st.number_input('slope', min_value=0, max_value=2, value=2)
|
155 |
+
ca = st.number_input('ca', min_value=0, max_value=4, value=0)
|
156 |
+
thal = st.number_input('thal', min_value=0, max_value=3, value=2)
|
157 |
+
|
158 |
+
features = age,sex,cp,trestbps,chol,fbs,restecg,thalach,exang,oldpeak,slope,ca,thal
|
159 |
+
send_req_sidebar = st.button('Get prediction')
|
160 |
+
|
161 |
+
# END Sidebar ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
|
162 |
+
|
163 |
+
ssend_req = st.button('Send get request')
|
164 |
+
|
165 |
+
backend_address = "https://hw2backend.herokuapp.com/predict/"
|
166 |
+
|
167 |
+
# Main page button
|
168 |
+
if send_req:
|
169 |
+
prediction = requests.get(backend_address,
|
170 |
+
params={"q": tuple(x17.values)})
|
171 |
+
st.code(f'Parameters sent: {x17.values}')
|
172 |
+
col1, col2 = st.columns(2)
|
173 |
+
with col1:
|
174 |
+
st.write('Model predicts')
|
175 |
+
st.success(f'y = {prediction.text}')
|
176 |
+
with col2:
|
177 |
+
st.write('Ground truth')
|
178 |
+
if int(prediction.text) == int(df.iloc[row_num]["target"]):
|
179 |
+
st.success(f'y = {int(df.iloc[row_num]["target"])}')
|
180 |
+
else:
|
181 |
+
st.warning(f'y = {int(df.iloc[row_num]["target"])}')
|
182 |
+
|
183 |
+
# Sidebar button
|
184 |
+
|
185 |
+
if send_req_sidebar:
|
186 |
+
prediction = requests.get(backend_address,
|
187 |
+
params={"q": features})
|
188 |
+
st.code(f'Parameters sent: {features}')
|
189 |
+
st.write('Model predicts')
|
190 |
+
st.info(f'y = {prediction.text}')
|
191 |
+
"""
|
192 |
+
)
|
193 |
+
|
194 |
+
show_api = st.checkbox('Show code of FastAPI backend')
|
195 |
+
if show_api:
|
196 |
+
st.code("""
|
197 |
+
# -*- coding: utf-8 -*-
|
198 |
+
# File: main.py
|
199 |
+
# Project: 'Homework #2 OTUS.ML.Advanced'
|
200 |
+
# Created by Gennady Matveev (gm@og.ly) on 04-01-2022.
|
201 |
+
# Copyright 2022. All rights reserved.
|
202 |
+
|
203 |
+
# Import libraries
|
204 |
+
import uvicorn
|
205 |
+
from atom import ATOMLoader
|
206 |
+
from fastapi import FastAPI, Query
|
207 |
+
import pandas as pd
|
208 |
+
from typing import List, Optional
|
209 |
+
|
210 |
+
cols = ['age', 'sex', 'cp', 'trestbps', 'chol', 'fbs', 'restecg', 'thalach',
|
211 |
+
'exang', 'oldpeak', 'slope', 'ca', 'thal']
|
212 |
+
|
213 |
+
atom = ATOMLoader("./models/atom20220104-32256", verbose=0)
|
214 |
+
|
215 |
+
# Initialize app
|
216 |
+
app = FastAPI()
|
217 |
+
|
218 |
+
# Routes
|
219 |
+
@app.get('/')
|
220 |
+
async def index():
|
221 |
+
return {"text": "Hello, fellow ML students"}
|
222 |
+
|
223 |
+
|
224 |
+
@app.get('/predict/')
|
225 |
+
async def predict(q: Optional[List[float]] = Query(None)):
|
226 |
+
dfx = pd.DataFrame([q], columns = cols)
|
227 |
+
prediction = atom.predict(dfx)
|
228 |
+
return int(prediction[0])
|
229 |
+
|
230 |
+
|
231 |
+
if __name__ == '__main__':
|
232 |
+
# port = int(os.environ.get("PORT", 8080))
|
233 |
+
port = int(os.environ.get("PORT", 8080))
|
234 |
+
uvicorn.run("main:app", host="0.0.0.0", port=port)
|
235 |
+
"""
|
236 |
+
)
|
237 |
+
|
238 |
+
st.markdown("And, finally, classification model itself on [Colab](https://colab.research.google.com/github/oort77/otusmladvhw2-notebook/blob/main/otus_adv_hw2.ipynb)")
|
car_at_night.ico
ADDED
|
requirements.txt
ADDED
File without changes
|
sky.png
ADDED
![]() |