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predict.py
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predict.py
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import os
import sys
import pandas as pd
import numpy as np
import tensorflow as tf
from tensorflow import keras
def load_model(filename):
model = keras.models.load_model(filename)
return model
def predict_price(model, data):
# Preprocess the data
features = data[['Open', 'High', 'Low', 'Close', 'Volume']].values
data['Datetime'] = pd.to_datetime(data['Datetime'], utc=True)
time_steps = 1
num_features = features.shape[1]
features = np.reshape(features, (-1, time_steps, num_features))
# Perform prediction
predictions = model.predict(features)
# Return predicted prices
return predictions
def main():
if len(sys.argv) < 3:
print("Usage: python predict.py <model_keras_file> <input_csv_file>")
print("Example: python predict.py models/msft.keras data/msft.csv")
sys.exit(1)
model_file = sys.argv[1]
input_file = sys.argv[2]
if (not os.path.exists(model_file)):
print("Model - Keras file not found")
sys.exit(1)
if (not os.path.exists(input_file)):
print("Input - CSV file not found")
sys.exit(1)
try:
model = load_model(model_file)
data = pd.read_csv(input_file)
predictions = predict_price(model, data)
print("Predictions:")
print(predictions)
except Exception as e:
print("Error: ", e)
sys.exit(1)
if __name__ == '__main__':
main()