Update app.py
Browse files
app.py
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@@ -3,7 +3,7 @@ import pandas as pd
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import joblib
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# Load the trained model
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model = joblib.load('
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# Define the prediction function
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def predict_price(host_id, neighbourhood_group, latitude, longitude, number_of_reviews, calculated_host_listings_count):
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import joblib
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# Load the trained model
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model = joblib.load('random_forest_model.pkl') # replace with your model path
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# Define the prediction function
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def predict_price(host_id, neighbourhood_group, latitude, longitude, number_of_reviews, calculated_host_listings_count):
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