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application.py
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application.py
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from flask import Flask,request,render_template,jsonify
from src.pipelines.prediction_pipeline import CustomData,PredictPipeline
from src.logger import logging
application = Flask(__name__)
app = application
@app.route('/')
def home_page():
return render_template('index.html')
@app.route('/predict',methods=['GET','POST'])
def predict_datapoint():
results = ""
if request.method=='GET':
return render_template('form.html')
else:
data=CustomData(
mean_radius=float(request.form.get('mean_radius')),
mean_texture=float(request.form.get('mean_texture')),
mean_perimeter=float(request.form.get('mean_perimeter')),
mean_area=float(request.form.get('mean_area')),
mean_smoothness=float(request.form.get('mean_smoothness')),
mean_compactness=float(request.form.get('mean_compactness')),
mean_concavity=float(request.form.get('mean_concavity')),
mean_concave_points=float(request.form.get('mean_concave_points')),
mean_symmetry=float(request.form.get('mean_symmetry')),
mean_fractal_dimension=float(request.form.get('mean_fractal_dimension')),
radius_error=float(request.form.get('radius_error')),
texture_error=float(request.form.get('texture_error')),
perimeter_error=float(request.form.get('perimeter_error')),
area_error=float(request.form.get('area_error')),
smoothness_error=float(request.form.get('smoothness_error')),
compactness_error=float(request.form.get('compactness_error')),
concavity_error=float(request.form.get('concavity_error')),
concave_points_error=float(request.form.get('concave_points_error')),
symmetry_error=float(request.form.get('symmetry_error')),
fractal_dimension_error=float(request.form.get('fractal_dimension_error')),
worst_radius=float(request.form.get('worst_radius')),
worst_texture=float(request.form.get('worst_texture')),
worst_perimeter=float(request.form.get('worst_perimeter')),
worst_area=float(request.form.get('worst_area')),
worst_smoothness=float(request.form.get('worst_smoothness')),
worst_compactness=float(request.form.get('worst_compactness')),
worst_concavity=float(request.form.get('worst_concavity')),
worst_concave_points=float(request.form.get('worst_concave_points')),
worst_symmetry=float(request.form.get('worst_symmetry')),
worst_fractal_dimension=float(request.form.get('worst_fractal_dimension'))
)
logging.info("Error in application.py")
final_new_data = data.get_data_as_dataframe()
predict_pipeline=PredictPipeline()
pred = predict_pipeline.predict(final_new_data)
if pred[0] ==1:
results = 'Breast Cancer Detected'
else:
results = 'Breast Cancer is Not Detected'
return render_template('form.html',final_result=results)
if __name__ == "__main__":
app.run(host="0.0.0.0",debug=True,port=5001)