Merge pull request #430 from anishamurmu13/solar

Solar Radiation Prediction

Solar Radiation Prediction/Backend/Procfile

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+web: gunicorn app:app

Solar Radiation Prediction/Backend/app.py

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+import numpy as np 
+from flask import Flask, request, jsonify,render_template
+import pickle
+
+app = Flask(__name__)
+model = pickle.load(open('model.pkl', 'rb'))
+
+@app.route('/')
+def home():
+    return render_template('index.html')
+
+@app.route('/predict',methods=['POST'])
+def predict():
+    '''
+    For rendering results on HTML GUI
+    '''
+    int_features = [float(x) for x in request.form.values()]
+    final_features = [np.array(int_features)]
+    prediction = model.predict(final_features)
+
+    output = int(np.round(prediction[0], 2))
+
+    return render_template('index.html', prediction_text='Solar Radiation is {} W/m²'.format(output))
+
+@app.route('/predict_api',methods=['POST'])
+def predict_api():
+    '''
+    For direct API calls trought request
+    '''
+    data = request.get_json(force=True)
+    prediction = model.predict([np.array(list(data.values()))])
+
+    output = prediction[0]
+    return jsonify(output)
+
+if __name__ == "__main__":
+    app.run(debug=True)