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app.py
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app.py
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from flask import Flask,request,render_template
from src.pipeline.prediction_pipeline import PredictPipeline,CustomData
app=Flask(__name__)
@app.route('/')
def home_page():
return render_template("index.html")
@app.route("/predict",methods=["GET","POST"])
def predict_datapoint():
if request.method=="GET":
return render_template("form.html")
else:
data=CustomData(
carat=float(request.form.get("carat")),
depth=float(request.form.get("depth")),
table=float(request.form.get("table")),
x=float(request.form.get("x")),
y=float(request.form.get("y")),
z=float(request.form.get("z")),
cut=request.form.get("cut"),
color=request.form.get("color"),
clarity=request.form.get("clarity")
)
final_data=data.get_data_as_dataframe()
predict_pipeline=PredictPipeline()
pred=predict_pipeline.predict(final_data)
result=round(pred[0],2)
return render_template("result.html",final_result=result)
if __name__=="__main__":
app.run(host="0.0.0.0",port=8000)