Add files via upload

Author: pratik-choudhari

Procfile

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+web: gunicorn app:app

app.py

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+import pandas as pd
+from flask import Flask, jsonify,render_template, request
+import pickle
+import warnings
+warnings.filterwarnings('ignore')
+
+# load model
+sgd = pickle.load(open('pickles/SGD_Inscope.pkl','rb'))
+easy_ensemble = pickle.load(open('pickles/Easy_ensemble_in_out.pkl','rb'))
+brfc = pickle.load(open('pickles/BRFC_in_out.pkl','rb'))
+
+cv_in = pickle.load(open('pickles/CountVect_Inscope.pkl','rb'))
+cv_out = pickle.load(open('pickles/CountVect_Outscope.pkl','rb'))
+encoder = pickle.load(open('pickles/LabelEncoder.pkl','rb'))
+# app
+app = Flask(__name__)
+
+# routes
+@app.route('/', methods=['GET','POST'])
+def homepage():
+    return render_template('index.html')
+
+@app.route('/results', methods=['GET','POST'])
+def results():
+    # get data
+    data = request.form['command']
+
+    # convert data into dataframe
+    data_df = pd.DataFrame({'text':[data]})
+    X = cv_in.transform(data_df.text)
+    
+    #predict
+    result = sgd.predict(X)
+    result = encoder.inverse_transform(result)
+    
+    X2 = cv_out.transform(data_df.text)
+    result2 = brfc.predict(X2)
+    res = [result[0], str(result2[0]),data]
+    print(res)
+    # return data
+    return render_template('results.html',predictions=res)
+
+if __name__ == '__main__':
+    app.run(host= '0.0.0.0',port = 5000, debug=True)

requirements.txt

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+Flask==1.0.2
+Jinja2==2.10
+imblearn==0.0
+imbalanced-learn==0.7.0
+pandas==1.0.3
+sklearn==0.0
+scikit-learn==0.23.0
+requests==2.23.0
+gunicorn==20.0.4

test.py

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+import json
+import requests
+# local url
+url = 'http://127.0.0.1:5000' # change to your url
+
+# sample data
+ask = input()
+data = {'text': ask
+}
+data = json.dumps(data)
+
+req = requests.post(url, data)
+print(req.text)