Update app.py
Browse files
app.py
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import pandas as pd
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from flask import Flask, request, jsonify
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from flask_cors import CORS
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# Import the classes so joblib can find them during unpickling
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from custom_transformers import StoreAgeAdder, OutlierCapper
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# Initialize flas app with name
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Superkart_Sales_Predictor_API = Flask("Superkart Sales Predictor")
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CORS(Superkart_Sales_Predictor_API) # Enable CORS for frontend integration (optional)
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# Load the trained model
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Random_Forest_Loaded_Model = joblib.load('Random_Forest_Model.pkl')
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# Define a route for the home page (GET request)
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@Superkart_Sales_Predictor_API.get('/')
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def home():
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import pandas as pd
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from flask import Flask, request, jsonify
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from flask_cors import CORS
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import joblib
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# Import the classes so joblib can find them during unpickling
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from custom_transformers import StoreAgeAdder, OutlierCapper
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# Load the trained model
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Random_Forest_Loaded_Model = joblib.load('Random_Forest_Model.pkl')
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# Initialize flas app with name
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Superkart_Sales_Predictor_API = Flask("Superkart Sales Predictor")
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CORS(Superkart_Sales_Predictor_API) # Enable CORS for frontend integration (optional)
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# Define a route for the home page (GET request)
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@Superkart_Sales_Predictor_API.get('/')
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def home():
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