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is there any code refrance avliable to deploy a model RandomForestClassifier using Flask [duplicate]

Post JSON using Python RequestsHow to get POSTed json in Flask?Is there any way to kill a Thread?Configure Flask dev server to be visible across the networkHow to get data received in Flask requestHow do you get a query string on Flask?Return JSON response from Flask viewHow to serve static files in FlaskError processing Json requestTwitter oauth with flask_oauthlib, Failed to generate request tokenFlask POSTs with Trailing SlashERROR : TypeError: Object of type 'int64' is not JSON serializable and json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)

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0

This question already has an answer here:

• 
  Post JSON using Python Requests
  
  6 answers
  
  


• 
  How to get POSTed json in Flask?
  
  5 answers
  
  

I want to deploy a model RandomForestClassifier using Flask.
I got reference in git hub-https://github.com/a-djebali/flask-machine-learning-resful

but when I send request to service it will not work instead error given,

Request.py code below

import requests
import json
import numpy as np

url = "http://127.0.0.1:9000/predict_api"
data = json.dumps('sl':5.84,'sw':3.0,'pl':3.75,'pw':1.1)
r = requests.post(url,data)
print(r.json())

for post app.py
Below Code

import numpy as np
from flask import Flask, abort, jsonify, request
import pickle as pickle 

random_forest_model = pickle.load(open("rfc.pkl","rb"))

app = Flask(__name__)

@app.route('/predict_api', methods=['POST'])
def predict():
 # Error checking
 data = request.get_json(force=True)

 # Convert JSON to numpy array
 predict_request = [data['sl'],data['sw'],data['pl'],data['pw']]
 predict_request = np.array(predict_request)

 # Predict using the random forest model
 y = random_forest_model.predict(predict_request)

 # Return prediction
 output = [y[0]]
 return jsonify(results=output)

if __name__ == '__main__':
 app.run(port = 9000, debug = True)

Error Message

File "C:Anacondalibjsondecoder.py", line 357, in raw_decode
raise JSONDecodeError("Expecting value", s, err.value) from None

JSONDecodeError: Expecting value

is any body try to use Flask web service please help me

python flask

share|improve this question

edited Mar 24 at 11:21

Vadim Kotov

5,04673550

asked Mar 24 at 11:18

manish vermamanish verma

41

marked as duplicate by davidism python
Users with the  python badge can single-handedly close python questions as duplicates and reopen them as needed.

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$hover.showInfoMessage('',
messageElement: $msg.clone().show(),
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dismissable: false,
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Mar 24 at 14:47

This question has been asked before and already has an answer. If those answers do not fully address your question, please ask a new question.

add a comment | 

0

This question already has an answer here:

• 
  Post JSON using Python Requests
  
  6 answers
  
  


• 
  How to get POSTed json in Flask?
  
  5 answers
  
  

I want to deploy a model RandomForestClassifier using Flask.
I got reference in git hub-https://github.com/a-djebali/flask-machine-learning-resful

but when I send request to service it will not work instead error given,

Request.py code below

import requests
import json
import numpy as np

url = "http://127.0.0.1:9000/predict_api"
data = json.dumps('sl':5.84,'sw':3.0,'pl':3.75,'pw':1.1)
r = requests.post(url,data)
print(r.json())

for post app.py
Below Code

import numpy as np
from flask import Flask, abort, jsonify, request
import pickle as pickle 

random_forest_model = pickle.load(open("rfc.pkl","rb"))

app = Flask(__name__)

@app.route('/predict_api', methods=['POST'])
def predict():
 # Error checking
 data = request.get_json(force=True)

 # Convert JSON to numpy array
 predict_request = [data['sl'],data['sw'],data['pl'],data['pw']]
 predict_request = np.array(predict_request)

 # Predict using the random forest model
 y = random_forest_model.predict(predict_request)

 # Return prediction
 output = [y[0]]
 return jsonify(results=output)

if __name__ == '__main__':
 app.run(port = 9000, debug = True)

Error Message

File "C:Anacondalibjsondecoder.py", line 357, in raw_decode
raise JSONDecodeError("Expecting value", s, err.value) from None

JSONDecodeError: Expecting value

is any body try to use Flask web service please help me

python flask

share|improve this question

edited Mar 24 at 11:21

Vadim Kotov

5,04673550

asked Mar 24 at 11:18

manish vermamanish verma

41

marked as duplicate by davidism python
Users with the  python badge can single-handedly close python questions as duplicates and reopen them as needed.

StackExchange.ready(function()
if (StackExchange.options.isMobile) return;

$('.dupe-hammer-message-hover:not(.hover-bound)').each(function()
var $hover = $(this).addClass('hover-bound'),
$msg = $hover.siblings('.dupe-hammer-message');

$hover.hover(
function()
$hover.showInfoMessage('',
messageElement: $msg.clone().show(),
transient: false,
position: my: 'bottom left', at: 'top center', offsetTop: -7 ,
dismissable: false,
relativeToBody: true
);
,
function()
StackExchange.helpers.removeMessages();

);
);
);
Mar 24 at 14:47

This question has been asked before and already has an answer. If those answers do not fully address your question, please ask a new question.

add a comment | 

This question already has an answer here:

• 
  Post JSON using Python Requests
  
  6 answers
  
  


• 
  How to get POSTed json in Flask?
  
  5 answers
  
  

I want to deploy a model RandomForestClassifier using Flask.
I got reference in git hub-https://github.com/a-djebali/flask-machine-learning-resful

but when I send request to service it will not work instead error given,

Request.py code below

import requests
import json
import numpy as np

url = "http://127.0.0.1:9000/predict_api"
data = json.dumps('sl':5.84,'sw':3.0,'pl':3.75,'pw':1.1)
r = requests.post(url,data)
print(r.json())

for post app.py
Below Code

import numpy as np
from flask import Flask, abort, jsonify, request
import pickle as pickle 

random_forest_model = pickle.load(open("rfc.pkl","rb"))

app = Flask(__name__)

@app.route('/predict_api', methods=['POST'])
def predict():
 # Error checking
 data = request.get_json(force=True)

 # Convert JSON to numpy array
 predict_request = [data['sl'],data['sw'],data['pl'],data['pw']]
 predict_request = np.array(predict_request)

 # Predict using the random forest model
 y = random_forest_model.predict(predict_request)

 # Return prediction
 output = [y[0]]
 return jsonify(results=output)

if __name__ == '__main__':
 app.run(port = 9000, debug = True)

Error Message

File "C:Anacondalibjsondecoder.py", line 357, in raw_decode
raise JSONDecodeError("Expecting value", s, err.value) from None

JSONDecodeError: Expecting value

is any body try to use Flask web service please help me

python flask

share|improve this question

edited Mar 24 at 11:21

Vadim Kotov

5,04673550

asked Mar 24 at 11:18

manish vermamanish verma

41

url = "http://127.0.0.1:9000/predict_api"
data = json.dumps('sl':5.84,'sw':3.0,'pl':3.75,'pw':1.1)
r = requests.post(url,data)
print(r.json())

import numpy as np
from flask import Flask, abort, jsonify, request
import pickle as pickle 

random_forest_model = pickle.load(open("rfc.pkl","rb"))

app = Flask(__name__)

@app.route('/predict_api', methods=['POST'])
def predict():
 # Error checking
 data = request.get_json(force=True)

 # Convert JSON to numpy array
 predict_request = [data['sl'],data['sw'],data['pl'],data['pw']]
 predict_request = np.array(predict_request)

 # Predict using the random forest model
 y = random_forest_model.predict(predict_request)

 # Return prediction
 output = [y[0]]
 return jsonify(results=output)

if __name__ == '__main__':
 app.run(port = 9000, debug = True)

share|improve this question

edited Mar 24 at 11:21

Vadim Kotov

5,04673550

asked Mar 24 at 11:18

manish vermamanish verma

41

share|improve this question

edited Mar 24 at 11:21

Vadim Kotov

5,04673550

asked Mar 24 at 11:18

manish vermamanish verma

41

edited Mar 24 at 11:21

Vadim Kotov

5,04673550

edited Mar 24 at 11:21

Vadim Kotov

5,04673550

asked Mar 24 at 11:18

manish vermamanish verma

41

asked Mar 24 at 11:18

manish vermamanish verma

41