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Update README.md

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@@ -32,18 +32,12 @@ Users (both direct and downstream) should be made aware of the risks, biases and
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  ## How to Get Started with the Model
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  Use the code below to get started with the model.
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- from tensorflow.keras.models import load_model
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- # Load the pre-trained model
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- model = load_model('path_to_model.h5')
 
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- # Example input data (image and numerical features)
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- image_input = ... # Preprocessed image data of shape (150, 150, 3)
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- numerical_input = ... # Numerical features (RSI, MACD, etc.)
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-
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- # Make a prediction
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- prediction = model.predict([image_input, numerical_input])
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- print("Predicted Stock Movement:", prediction)
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  ## How to Get Started with the Model
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  Use the code below to get started with the model.
 
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+ import torch
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+ from torchvision import models
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+ import pickle
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+ # Load the model
 
 
 
 
 
 
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