| import numpy as np |
| from flask import Flask, request, jsonify, render_template |
| import safaricomproject |
|
|
| app = Flask(__name__) |
|
|
| @app.route('/') |
| def home(): |
| return render_template('index.html') |
|
|
| @app.route('/predict',methods=['POST']) |
| def predict(): |
| ''' |
| For rendering results on HTML GUI |
| ''' |
| int_features = [str(x) for x in request.form.values()] |
| final_features = str([np.array(int_features)]) |
| prediction = svm.predict(final_features) |
|
|
| output = round(prediction[0], 2) |
|
|
| return render_template('index.html', prediction_text='The tweet is {}'.format(output)) |
|
|
| @app.route('/predict_api',methods=['POST']) |
| def predict_api(): |
| ''' |
| For direct API calls trought request |
| ''' |
| data = request.get_json(force=True) |
| prediction = safaricomproject.predict([np.array(list(data.values()))]) |
|
|
| output = prediction[0] |
| return jsonify(output) |
|
|
| if __name__ == "__main__": |
| app.run(debug=True) |
